US9511274B2 - Methods for automatically generating a card deck library and master images for a deck of cards, and a related card processing apparatus - Google Patents

Methods for automatically generating a card deck library and master images for a deck of cards, and a related card processing apparatus Download PDF

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Publication number
US9511274B2
US9511274B2 US14/022,160 US201314022160A US9511274B2 US 9511274 B2 US9511274 B2 US 9511274B2 US 201314022160 A US201314022160 A US 201314022160A US 9511274 B2 US9511274 B2 US 9511274B2
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Prior art keywords
card
rank
images
master
image
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US14/022,160
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US20140091522A1 (en
Inventor
James V. Kelly
Vladislav Zvercov
Brian Miller
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LNW Gaming Inc
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Bally Gaming Inc
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Priority claimed from US13/631,658 external-priority patent/US9378766B2/en
Application filed by Bally Gaming Inc filed Critical Bally Gaming Inc
Priority to US14/022,160 priority Critical patent/US9511274B2/en
Priority to SG11201502054SA priority patent/SG11201502054SA/en
Priority to CN201380060943.7A priority patent/CN104885096B/en
Priority to EP18199796.6A priority patent/EP3495026B1/en
Priority to MYPI2015700947A priority patent/MY171682A/en
Priority to ES18199796T priority patent/ES2813878T3/en
Priority to EP13842503.8A priority patent/EP2885743B1/en
Priority to SG10201708011WA priority patent/SG10201708011WA/en
Priority to ES13842503T priority patent/ES2703570T3/en
Priority to CN201811037865.XA priority patent/CN109432757B/en
Priority to AU2013324026A priority patent/AU2013324026B2/en
Priority to KR1020157008215A priority patent/KR102246222B1/en
Priority to PCT/US2013/059665 priority patent/WO2014052041A2/en
Priority to CA2888102A priority patent/CA2888102A1/en
Priority to ARP130103410A priority patent/AR092659A1/en
Priority to TW102135135A priority patent/TWI619530B/en
Assigned to SHFL ENTERTAINMENT, INC. reassignment SHFL ENTERTAINMENT, INC. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: KELLY, JAMES V., MILLER, BRIAN, ZVERCOV, VLADISLAV
Publication of US20140091522A1 publication Critical patent/US20140091522A1/en
Assigned to BALLY GAMING, INC. reassignment BALLY GAMING, INC. MERGER (SEE DOCUMENT FOR DETAILS). Assignors: SHFL ENTERTAINMENT, INC.
Assigned to BALLY TECHNOLOGIES, INC., SIERRA DESIGN GROUP, BALLY GAMING INTERNATIONAL, INC., ARCADE PLANET, INC., BALLY GAMING, INC, SHFL ENTERTAINMENT, INC reassignment BALLY TECHNOLOGIES, INC. RELEASE BY SECURED PARTY (SEE DOCUMENT FOR DETAILS). Assignors: BANK OF AMERICA, N.A.
Assigned to BANK OF AMERICA, N.A., AS COLLATERAL AGENT reassignment BANK OF AMERICA, N.A., AS COLLATERAL AGENT SECURITY AGREEMENT Assignors: BALLY GAMING, INC
Assigned to DEUTSCHE BANK TRUST COMPANY AMERICAS, AS COLLATERAL AGENT reassignment DEUTSCHE BANK TRUST COMPANY AMERICAS, AS COLLATERAL AGENT SECURITY AGREEMENT Assignors: BALLY GAMING, INC, SCIENTIFIC GAMES INTERNATIONAL, INC, WMS GAMING INC.
Priority to PH12015500594A priority patent/PH12015500594B1/en
Priority to ZA2015/02459A priority patent/ZA201502459B/en
Priority to US15/369,312 priority patent/US10398966B2/en
Application granted granted Critical
Publication of US9511274B2 publication Critical patent/US9511274B2/en
Priority to AU2017254953A priority patent/AU2017254953B2/en
Assigned to DEUTSCHE BANK TRUST COMPANY AMERICAS, AS COLLATERAL AGENT reassignment DEUTSCHE BANK TRUST COMPANY AMERICAS, AS COLLATERAL AGENT SECURITY AGREEMENT Assignors: BALLY GAMING, INC., SCIENTIFIC GAMES INTERNATIONAL, INC.
Assigned to DEUTSCHE BANK TRUST COMPANY AMERICAS, AS COLLATERAL AGENT reassignment DEUTSCHE BANK TRUST COMPANY AMERICAS, AS COLLATERAL AGENT SECURITY AGREEMENT Assignors: BALLY GAMING, INC., SCIENTIFIC GAMES INTERNATIONAL, INC.
Assigned to BALLY GAMING, INC., WMS GAMING INC., SCIENTIFIC GAMES INTERNATIONAL, INC. reassignment BALLY GAMING, INC. RELEASE OF SECURITY INTEREST IN PATENTS (RELEASES REEL/FRAME 034530/0318) Assignors: DEUTSCHE BANK TRUST COMPANY AMERICAS
Priority to CY181101234T priority patent/CY1120963T1/en
Assigned to SG GAMING, INC. reassignment SG GAMING, INC. CHANGE OF NAME (SEE DOCUMENT FOR DETAILS). Assignors: BALLY GAMING, INC.
Assigned to WMS GAMING INC., BALLY GAMING, INC., DON BEST SPORTS CORPORATION, SCIENTIFIC GAMES INTERNATIONAL, INC. reassignment WMS GAMING INC. RELEASE BY SECURED PARTY (SEE DOCUMENT FOR DETAILS). Assignors: BANK OF AMERICA, N.A.
Assigned to JPMORGAN CHASE BANK, N.A. reassignment JPMORGAN CHASE BANK, N.A. SECURITY AGREEMENT Assignors: SG GAMING INC.
Assigned to LNW GAMING, INC. reassignment LNW GAMING, INC. CHANGE OF NAME (SEE DOCUMENT FOR DETAILS). Assignors: SG GAMING, INC.
Assigned to SG GAMING, INC. reassignment SG GAMING, INC. CORRECTIVE ASSIGNMENT TO CORRECT THE THE NUMBERS LISTED PREVIOUSLY RECORDED AT REEL: 051641 FRAME: 0588. ASSIGNOR(S) HEREBY CONFIRMS THE ASSIGNMENT. Assignors: BALLY GAMING, INC.
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Classifications

    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63FCARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F1/00Card games
    • A63F1/06Card games appurtenances
    • A63F1/12Card shufflers
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/28Determining representative reference patterns, e.g. by averaging or distorting; Generating dictionaries
    • G06K9/2063
    • G06K9/66
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/22Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
    • G06V10/225Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition based on a marking or identifier characterising the area
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/40Extraction of image or video features
    • G06V10/50Extraction of image or video features by performing operations within image blocks; by using histograms, e.g. histogram of oriented gradients [HoG]; by summing image-intensity values; Projection analysis
    • G06V10/507Summing image-intensity values; Histogram projection analysis
    • AHUMAN NECESSITIES
    • A63SPORTS; GAMES; AMUSEMENTS
    • A63FCARD, BOARD, OR ROULETTE GAMES; INDOOR GAMES USING SMALL MOVING PLAYING BODIES; VIDEO GAMES; GAMES NOT OTHERWISE PROVIDED FOR
    • A63F9/00Games not otherwise provided for
    • A63F9/24Electric games; Games using electronic circuits not otherwise provided for
    • A63F2009/2401Detail of input, input devices
    • A63F2009/2411Input form cards, tapes, discs
    • A63F2009/2419Optical
    • A63F2009/2425Scanners, e.g. for scanning regular characters

Definitions

  • the disclosure relates generally to card recognition in card handling devices. More specifically, disclosed embodiments relate to automatic generation of calibration files and other improvements to card recognition systems of card handling devices.
  • Card handling devices are used in the gaming industry for increasing the efficiency, security, and game speed in live table games, such as blackjack, baccarat, and various forms of poker.
  • Card handling devices may perform a variety of functions including randomly shuffling one or more decks of cards in an efficient and thorough manner.
  • shuffling the cards in an efficient and thorough manner may assist in preventing players from having an advantage by knowing the position of specific cards or groups of cards in the final arrangement of cards delivered in the play of the game. Additionally, it may be desirable to shuffle the cards in a very short period of time in order to reduce delay in the play of the game.
  • Card shufflers may include a card recognition system, which may be used to verify the contents of the card set, such as one or more decks and ensure that the card set contains all the appropriate cards, and also to detect any cards that do not belong therein.
  • the card recognition system may also enable a card shuffler to verify the contents of the deck throughout the game play.
  • Some known card shufflers may comprise a card recognition system that employs sensors and a hardware component that may sense the rank (2-10, Jack-Ace) and suit (Spade, Club, Heart, Diamond) from the face of a card and thereafter convert signals from the sensed data into data array sets.
  • the data array sets may be compared to known data array sets of a verified deck of cards.
  • Other known card shufflers may comprise a camera that captures an unknown image of each card entered into the card shuffler and then extracts the card rank and suit from the unknown image. The unknown image may be compared to master images of a verified deck of cards to identify the cards.
  • the card images e.g., graphics
  • the size and location of the rank and suit may also vary from one deck design to the next.
  • the card recognition system of the card shuffler may be loaded with a set of master images containing the rank and suit symbols of a particular deck design.
  • the master images may be stored in memory within the card shuffler in a particular sub-directory for that particular deck design. For example, a sub-directory may exist for each deck type supported by the card shuffler.
  • the process of creating these master images conventionally requires a substantial amount of manual measurement and analysis by a technician to create and load the master images for each deck type. For example, the technician may manually enter parameters into a calibration file listing different measurements and locations related to the rank and suit symbols. This process involves trial and error, and is time consuming as the technician attempts to find the right combination of parameters to use in generating the master images.
  • the dealer may select the specific deck design that will be used during game play. Selecting the deck in the card shuffler determines which deck library (e.g., master images and other related files) is used for comparison with the card images captured during use. The dealer may select the incorrect deck type, often for reasons such as a lack of training or, simply, input error. As a result, the deck library from one deck type may be used for comparison with images from another deck type. Using the wrong deck library may result in errors in card identification.
  • deck library e.g., master images and other related files
  • a method of automatically generating a calibration file for a card handling device comprises capturing a raw image from at least a portion of a card passing through a card handling device, and using a processor, automatically generating a calibration file stored in memory of a main control system of the card handling device.
  • Automatically generating the calibration file comprises identifying at least one parameter associated with a rank area around a rank of the at least a portion of the card, identifying at least one parameter associated with a suit area around a suit of the at least a portion of the card, and storing the at least one parameter associated with the rank area and the at least one parameter associated with the suit area in the calibration file.
  • a method of automatically generating one or more deck libraries for one or more decks of cards comprises using a processor to automatically generate a first calibration file without user input in identifying at least one parameter associated with a rank area and at least one parameter associated with a suit area for a first deck type of cards, the calibration file including the parameters associated with the rank area and the suit area, storing the first calibration file in a first deck library for the first deck type, using the processor to automatically generate a plurality of master images for the cards of the first deck type using the parameters from the calibration file, and storing the plurality of master images for the cards of the first deck type in the first deck library.
  • a card processing apparatus comprises a memory device, an imaging device operably coupled with the memory device such that raw images from the imaging device are stored in the memory device, and a main control system coupled with the imaging device.
  • the main control system is configured to run an operating system having a file directory system configured to store a plurality of deck libraries for a plurality of different deck types.
  • the main control system is configured to receive the raw images from the memory device, automatically generate a calibration file having parameters related to a rank area and a suit area for a deck type.
  • FIG. 1 is a perspective view of a card handling device according to an embodiment of the present disclosure.
  • FIG. 2 is a perspective view of a card handling device according to another embodiment of the present disclosure.
  • FIG. 3 is a partial perspective view of a card handling device according to another embodiment of the present disclosure.
  • FIG. 4 is a schematic block diagram of a card processing system for a card handling device according to an embodiment of the present disclosure.
  • FIG. 5 is an illustration of an image captured by an imaging device of a card handling device, according to an embodiment of the present disclosure.
  • FIG. 6 is a flowchart illustrating a method for automatically generating a calibration file for a card detection system according to an embodiment of the present disclosure.
  • FIG. 7 is a flowchart illustrating a method for generating master images according to an embodiment of the present disclosure.
  • FIGS. 8A through 8C illustrate a process of generating a master rank image and a master suit image from a raw image according to the parameters stored in the calibration file.
  • FIGS. 8D and 8E show an example of the master images being normalized to form normalized master images.
  • FIGS. 9A through 9C are a series of card images that illustrate a method for generating master images by finding and filling contours according to another embodiment of the disclosure.
  • FIGS. 10 and 11 show histograms that may result from an OCR analysis of the master suit images and the master rank images generated by the contour analysis illustrated in FIGS. 9A through 9C .
  • FIG. 12 is a flowchart illustrating a method for determining the identity of unknown images according to an embodiment of the present disclosure.
  • FIGS. 13A, 13B, and 13C show a processed image of a card, in which the imaging device had experienced dust build-up on the lens.
  • FIGS. 14A and 14B illustrate a problem of incorrectly splitting an image that may arise during card recognition mode.
  • FIGS. 15A, 15B illustrate an issue that may arise when capturing an image using uneven illumination.
  • FIGS. 16A, 16B, 16C are raw images from the imaging device of a card handling device showing fish eye distortion caused by the imaging device.
  • FIGS. 17A, 17B, 17C are images for which the fisheye distortion has been reduced through mathematical stretching of the distorted image.
  • DSP Digital Signal Processor
  • ASIC Application-Specific Integrated Circuit
  • FPGA Field-Programmable Gate Array
  • a general-purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine.
  • a general-purpose processor may be considered a special-purpose processor while the general-purpose processor executes instructions (e.g., software code) stored on a computer-readable medium.
  • a processor may also be implemented as a combination of computing devices, such as a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.
  • the embodiments may be described in terms of a process that may be depicted as a flowchart, a flow diagram, a structure diagram, or a block diagram. Although a process may describe operational acts as a sequential process, many of these acts can be performed in another sequence, in parallel, or substantially concurrently. In addition, the order of the acts may be re-arranged. A process may correspond to a method, a function, a procedure, a subroutine, a subprogram, etc. Furthermore, the methods disclosed herein may be implemented in hardware, software, or both. If implemented in software, the functions may be stored or transmitted as one or more instructions or code on computer-readable media. Computer-readable media includes both computer storage media and communication media, including any medium that facilitates transfer of a computer program from one place to another.
  • any reference to an element herein using a designation such as “first,” “second,” and so forth does not limit the quantity or order of those elements, unless such limitation is explicitly stated. Rather, these designations may be used herein as a convenient method of distinguishing between two or more elements or instances of an element. Thus, a reference to first and second elements does not mean that only two elements may be employed or that the first element must precede the second element in some manner.
  • a set of elements may comprise one or more elements.
  • the term “master image” is an image generated by a card recognition system during calibration mode that may be stored for future comparison with unknown images to identify a card during card recognition mode.
  • the master images may include separate master images for each rank and suit of a deck. There may also be master images for other symbols, such as a joker, Wagner symbols, deck set symbols, casino symbols and other known symbols.
  • a master image may include both the rank and the suit of an individual card, such that each individual card has its own master image.
  • a “raw image” is an image generated by a card recognition system during calibration mode and may be used to generate the master image.
  • An example of a “raw image” is an image generated by a two-dimensional (2D) CMOS image sensor.
  • the master images may be generated according to parameters stored in an automatically generated calibration file.
  • a “raw image” may be generated and used to generate an unknown image.
  • the term “unknown image” is an image that is generated by the card recognition system for comparison with a master image to identify a card rank and suit during card recognition mode.
  • Embodiments of the present disclosure include card handling devices, card recognition systems, and related methods. It is contemplated that there are various configurations of card handling devices that may include a card recognition system according to an embodiment of the present disclosure. FIGS. 1 through 3 , described below, are non-limiting examples of such card handling devices that may employ card recognition systems and methods of the present disclosure. Of course, other configurations of card handling devices are also contemplated.
  • FIG. 1 is a perspective view of a card handling device 100 according to an embodiment of the present disclosure.
  • the card handling device 100 may be configured to randomize sets of cards, such as decks and sets of multiple decks of cards.
  • the card handling device 100 may include a top surface 112 that comprises a flip-up cover 114 that, when opened, may expose a card insertion area 116 and an elevator platform 118 .
  • the card insertion area 116 may be configured to receive an input set of cards to be shuffled, counted, and/or sorted.
  • the card handling device 100 may be configured to receive, read rank and suit, sort, and/or shuffle one or more decks of cards (e.g., standard deck of 52 cards each, 52 cards plus one or two jokers, etc.).
  • the card handling device 100 may be particularly well suited for providing randomized decks of cards for card games, such as blackjack, poker, etc.
  • the card handling device 100 may be located adjacent to, or flush mounted into, a gaming table surface in a casino where a live card game may be played.
  • the card handling device 100 may be located at a remote location off the casino floor, which may be inaccessible to the public.
  • the elevator platform 118 may be configured to raise a set of shuffled cards to a level where the cards may be removed by an operator after the shuffling, reading, and/or sorting processes are completed.
  • a card processing system 400 FIG. 4
  • the card processing system 400 may be configured to recognize the identity of the cards as the cards pass through the card handling device 100 .
  • the elevator platform 118 may include a card present sensor 120 configured to detect the presence of a card located on the elevator platform 118 .
  • Other card present sensors 420 ( FIG. 4 ) in the card processing system 400 may trigger the card recognition system to capture the image of the card or data from the card image.
  • the card handling device 100 may also be configured to display operational data relating to the device to a display panel 122 located on the top surface 112 .
  • An operator using the card handling device 100 may monitor the display panel 122 and view the displayed information in order to know the status of operation of the card handling device 100 .
  • Such information displayed on display panel 122 may include the number of cards present in the card handling device 100 , the status of any shuffling, reading, or sorting operations, security information relating to the card handling device 100 , status relating to a card verification process, or any other information about errors, or the operation of card handling device 100 that would be useful to the operator.
  • the display panel 122 is an LED display.
  • the display is an LCD display or other electronic display capable of at least displaying alpha-numeric information.
  • the display panel 122 may include a user interface for the user to interact with the card handling device 100 .
  • buttons 113 , 115 may control operations, such as power on/off, special functions (e.g., raise elevator to the card delivery position, reshuffle command, security check, card count command, etc.), and the like.
  • touchscreen controls are provided on a surface of the display panel 122 .
  • FIG. 2 is a perspective view of another card handling device 200 according to another embodiment of the present disclosure.
  • the card handling device 200 may include a recessed card infeed tray 222 , adjacent recessed card output tray 224 , and a plurality of card shuffling compartments (not shown) arranged into a carousel structure 223 that are configured to shuffle a deck of cards inserted into the card infeed tray 222 and outputted in smaller groups, such as hands and/or partial hands to the card output tray 224 during use.
  • the shuffling compartments of the carousel structure 223 may be enclosed within a cover 228 .
  • a card present sensor (not shown) in the card output tray 224 may generate a signal that causes the processor to instruct mechanical elements to dispense another group of cards after the last group of cards is removed.
  • the card handling device 200 includes a flange member 202 that may further include a dealer display 242 that may include touch screen controls for the dealer to input commands for the card handling device 200 .
  • the card handling device 200 may be flush-mounted on a gaming table. Additional details regarding such a card handling device are described in U.S. Pat. No. 8,342,525, issued Jan. 1, 2013, and entitled “Card Shuffler with Adjacent Card Infeed and Card Output Compartments,” the disclosure of which is incorporated herein in its entirety by this reference.
  • the card handling device 200 may further include a card recognition system ( FIG. 4 ) that may be housed within the cover 228 , and which will be described in further detail below.
  • FIG. 3 is a partial perspective view of a card handling device 300 according to yet another embodiment of the present disclosure.
  • the card handling device 300 includes a card receiving area 306 that may be provided with a stationary lower support surface 307 that slopes downwardly from an outer side 309 of the card handling device 300 .
  • the outer side 309 may include a depression 311 configured to facilitate an operator's ability to place or remove cards into the card receiving area 306 .
  • a top surface 304 of the card handling device 300 may include a user interface 302 that may include a visual display 312 (e.g., LED, liquid crystal, micro monitor, semiconductor display, etc.), and one or more user inputs 324 , 326 .
  • the user inputs 324 , 326 may include one or more buttons, touch screens, etc.
  • the user interface 302 may further include additional lights and/or displays 328 , 330 , which may be configured to indicate power availability (on/off), a shuffler state (e.g., active shuffling, completed shuffling cycle, insufficient numbers of cards, missing cards, sufficient numbers of cards, complete deck(s), damaged or marked cards, entry functions for the dealer to identify the number of players, the number of cards per hand, access to fixed programming for various games, the number of decks being shuffled, card calibration information, etc.), or other information useful to the operator.
  • a shuffler state e.g., active shuffling, completed shuffling cycle, insufficient numbers of cards, missing cards, sufficient numbers of cards, complete deck(s), damaged or marked cards, entry functions for the dealer to identify the number of players, the number of cards per hand, access to fixed programming for various games, the number of decks being shuffled, card calibration information, etc.
  • the card handling device 300 may further include a shuffled card return area 332 .
  • the shuffled card return area 332 may include an elevator surface 314 and card supporting sides 334 that surround at least a portion of the elevator surface 314 .
  • the card supporting sides 334 remain fixed to the elevator surface 314 during operation.
  • the card supporting sides 334 may be fixed to the frame and do not move.
  • the card supporting sides 334 may be removable. Removal of the card supporting sides 334 may enable the operator to lift shuffled groups of cards onto a gaming table surface for use in a card game. Additional details regarding such a card handling device are described in U.S. Pat. No. 7,764,836, issued Jul.
  • the card handling device 300 may further include a card recognition system (not shown), which will be described in further detail below.
  • the physical configuration of the card recognition system may also vary from one card handling device to the next.
  • the placement of the imaging device may be different (e.g., different angles) from one card handling device to the next, which may result in the need to generate and maintain different deck libraries for the various types of card handling devices.
  • the need to maintain deck libraries for various types of card handling devices is increased with the different shuffler structures, which may further add to the benefits and advantages of embodiments of the present disclosure.
  • Embodiments of the present disclosure include apparatuses and related methods for automatically generating a calibration file for a card handling device.
  • a processor programmed to identify the location and dimensions on a card for a rank, suit, region of interest, and/or other measurements regardless of the deck type and without user interaction, and to generate a calibration file that is later used during a card recognition mode of the processor.
  • FIG. 4 is a schematic block diagram of a card processing system 400 for a card handling device according to an embodiment of the present disclosure.
  • card handling devices 100 , 200 , 300 that may include the card processing system 400 include those described above with respect to FIGS. 1 through 3 .
  • the card processing system 400 may be adapted for use within any card handling device that is configured to shuffle, sort, deal, process or otherwise handle a deck of cards.
  • the card processing system 400 may be configured to be automatically tuned to obtain card rank and suit information from one or more decks of cards of different designs and manufacturers, after which the card processing system 400 may be used to determine the identity (i.e., rank and suit) of an unknown card passing through the card handling device.
  • the ability to determine the identity of an unknown card may be desirable for fraud detection, verifying that the proper cards are in a deck, or for other reasons.
  • the card processing system 400 may also be configured to control the shuffling of the cards, as well as the motors, rollers, etc., that move the cards through the card handling device.
  • a separate shuffler processor (not shown) may be configured to control the mechanical operation of the card handling device.
  • the card processing system 400 may include a main control system 412 , a card recognition processor 414 , an imaging device 416 , a memory device 418 , a latch 419 , and a card present sensor 420 .
  • Each of the main control system 412 , card recognition processor 414 , imaging device 416 , the memory device 418 , and the card present sensor 420 may be coupled with each other for communication therebetween.
  • the latch 419 may be coupled between the card recognition processor 414 and the memory device 418 .
  • the card recognition processor 414 may be coupled with the imaging device 416 to receive captured images. Capturing an image of all or a portion of the card is also referred to herein as “reading the card.” Cards may be read when stationary or in motion within the card handling device.
  • the imaging device 416 may be positioned and oriented within the card handling device, such that at least a portion of the card may be placed within a field of view of the imaging device 416 when capturing an image of the card. As shown in FIG. 5 , a portion of card 506 for a resulting raw image 417 that is within the field of view 502 of the imaging device 416 may be the upper-left hand corner of the card 506 . (When the card is face-up, long side along the x axis). Additional detail regarding analysis of the raw image 417 , and the related information derived therefrom, will be discussed with more detail below with respect to FIG. 5 .
  • the main control system 412 may include a processor 430 and memory 432 .
  • the processor 430 may be configured to perform operations, such as executing instructions (e.g., software code) that perform methods described herein.
  • the instructions may include a program that will run on the main control system 412 at the time the card handing device is tuned (i.e., calibrated) for a specific deck of cards of a specific design.
  • the memory 432 may be configured to store information therein.
  • the memory 432 may store the executables and other files that enable the processor 430 to run the operating system on the main control system 412 .
  • the memory 432 may include volatile and/or non-volatile memory.
  • the main control system 412 may run an operating system (e.g., Linux, WINDOWS®, etc.).
  • the main control system 412 may be configured to instruct the imaging device 416 to capture the image (e.g., responsive to a trigger signal from the card present sensor 420 ) or to extract data from a symbol printed in the field of view 502 .
  • the main control system 412 may also be configured to communicate information to input and output devices (not shown), such as a display, operator inputs, etc.
  • the operating system may enable a data organization structure that includes a file system 431 for storing files (e.g., image files, calibration files, etc.) within the memory 432 that may be used to determine the identity of unknown cards during card recognition mode.
  • the main control system 412 may be configured to organize the file system 431 into sub-directories 434 , 436 .
  • Each sub-directory 434 , 436 may be for a deck type or design to which the card processing system 400 has been tuned. Thus, a sub-directory may also be referred to as a “deck library.”
  • a first deck library 434 may include files stored therein that are for a first particular deck type.
  • files stored within the first deck library 434 may include a calibration file 433 , a deck name file 435 , and a plurality of master images 413 , 415 .
  • the calibration file 433 may include parameters that identify certain measurements (e.g., rank and suit areas, region of interest, etc.) that may be used by the main control system 412 and/or the card recognition processor 414 to generate the master images 413 , 415 and/or process other images to be compared with the master images 413 , 415 .
  • the processor 430 of the main control system 412 may be configured (e.g., programmed) to control the card processing system 400 for operation in one of a plurality of modes.
  • the card processing system 400 may be capable of operating in a calibration mode (e.g., automatically generating a calibration file, master images, and other files of a deck library) and a card recognition mode (e.g., determining the identity of an unknown card passing through the card handling device).
  • a calibration mode e.g., automatically generating a calibration file, master images, and other files of a deck library
  • a card recognition mode e.g., determining the identity of an unknown card passing through the card handling device.
  • the card processing system 400 may be “tuned” to recognize a particular deck of cards or deck type. Therefore, the calibration mode may also be referred to herein as the “tuning mode.”
  • the main control system 412 may be configured to automatically generate the calibration file 433 and the master images 413 , 415 that may be employed by the card processing system 400 when subsequently operated in the card recognition mode.
  • the master images 413 , 415 include master rank images 413 and master suit images 415 for the specific card deck type or deck design to which the card processing system 400 is being tuned.
  • the master rank images 413 may include thirteen images, one for each rank (2, 3, . . .
  • the master suit images 415 may include four images, one for each suit (Diamonds (D), Hearts (H), Spades (S), and Clubs (C)).
  • the result from calibration mode includes the calibration file 433 , the master images 413 , 415 , and the deck name file 435 being stored in a deck library 434 for the specific deck type.
  • the master images 413 , 415 may be generated by the card processing system 400 by reading a pre-sorted deck into the card processing system 400 .
  • pre-sorted means that cards of the deck to be tuned are placed and read into the card processing system 400 in an order that is known or expected by the main control system 412 during calibration mode.
  • pre-sorted is not intended to require any particular order of cards, but rather an order that is expected by the main control system 412 .
  • the card processing system 400 knows the rank and suit of each respective card as it is read into the card processing system 400 and used to generate the master images 413 , 415 .
  • the master images 413 , 415 may be generated by the card processing system 400 by reading an unsorted (e.g., randomly ordered) deck of cards into the card processing system 400 .
  • Unsorted means that the cards of a deck to be tuned are placed in an order that is unknown or unexpected by the main control system 412 . From the perspective of the main control system 412 , an unsorted deck is a randomly ordered deck. Additional details regarding the generation of master images 413 , 415 of a pre-sorted and an unsorted deck are described below with reference to FIGS. 7 and 8A-8C .
  • the file system 431 may include additional deck libraries 436 that are unique to additional deck types to which the card processing system 400 has been tuned.
  • a deck library may be stored for each style or brand of cards used by a casino.
  • the card processing system 400 may automatically generate a new deck library having a calibration file 433 , a deck name file 435 , and plurality of master images 413 , 415 for the new deck type stored therein.
  • Any number of deck libraries may be generated and included within the file system 431 , according to the number of desired deck types to which the card processing system 400 is tuned. Because card styles sometimes change over time, it may be desirable to generate a new deck library 434 each time a casino receives a new shipment of cards.
  • the card processing system 400 may also operate in a card recognition mode.
  • an unknown image 411 may be compared with one or more master images 413 , 415 to determine the identity (e.g., the rank and suit) of the unknown card passing through the card handling device.
  • the card recognition mode may occur during real-time play of a wagering game, with the processing being primarily performed by the card recognition processor 414 rather than the main control system 412 . Additional details regarding the recognition of an unknown card passing through the card handling device during the card recognition mode are described below with reference to FIG. 12 .
  • the card recognition processor 414 may configured as an FPGA or comparable hardware component having control logic configured to process one or more images according to embodiments described herein.
  • the card recognition processor 414 may be configured to process a raw image data captured by the imaging device 416 data and transmit the processed raw image data to the memory device 418 as raw images 417 .
  • the card recognition processor 414 may also configured to generate the master images 413 , 415 according to the parameters stored in the calibration file 433 .
  • the card recognition processor 414 may be configured to determine the identity of an unknown card.
  • the card recognition processor 414 may be configured to generate the unknown images 411 from the raw captured image data so that the unknown images 411 may be compared with one or more of the master images 413 , 415 to determine the identity of the unknown card.
  • the card recognition processor 414 may be configured to compare the generated unknown rank and suit images (i.e., the unknown image 411 ) with master rank images 413 and master suit images 415 to determine the identity of the card.
  • the card recognition processor 414 may also include memory that may store master images 413 , 415 (as is shown in FIG. 4 ), which may be used to compare with the unknown image 411 during the card recognition mode. Memory of the card recognition processor 414 may also store raw images 417 in some embodiments.
  • the imaging device 416 may include a camera (e.g., 2D CMOS imager) configured to acquire a two-dimensional image of its field of view.
  • the imaging device 416 may include an analog camera or a digital camera with a decoder or receiver that converts received radiation into signals that can be analyzed with respect to image content.
  • the signals may reflect either color or black-and-white information, or merely measure shifts in color density and pattern.
  • the imaging device 416 may include one or more lenses to focus light, mirrors to direct light, and radiation emitters to assure sufficient radiation intensity for imaging by the imaging device 416 .
  • the radiation emitters may include LED light sources (not shown) to illuminate areas of the card being imaged. Although a white light source may sometimes be adequate to capture grayscale data from red and black print on cards, a green light source may be an efficient source of illumination for capturing black and white data from both red and black print on cards.
  • the card present sensor 420 may be configured to generate a signal when a card is present for the imaging device 416 to read.
  • the card present sensor 420 may be coupled to the imaging device 416 directly for sending a trigger signal to the imaging device 416 indicating that the card is present. In response to the trigger signal, the imaging device 416 may capture the image of the card.
  • the card present sensor 420 may be coupled to the imaging device 416 indirectly such that the trigger signal is sent to the imaging device 416 through other components, such as the main control system 412 or the card recognition processor 414 .
  • the card present sensor 420 is shown in FIG. 4 as being directly coupled with each of the main control system 412 , the card recognition processor 414 and the imaging device 416 , this is done to show various optional configurations for the card present sensor 420 .
  • the memory device 418 may be configured to store the captured raw images 417 for each of the cards of the deck.
  • the raw images 417 may be read in by the imaging device 416 to be used by the main control system 412 during calibration mode, which may be used to generate the calibration file 433 .
  • the raw images 417 may further be provided to the main control system 412 during calibration mode to generate a set of master images 413 , 415 , which master images 413 , 415 may ultimately be stored in the corresponding deck library 434 , 436 for that respective deck type.
  • the memory device 418 may have N locations available for storing the raw images for each card, wherein N is any positive integer. For most standard decks, N may be equal to 52 or, maybe, each rank of each suit 13 rank images and 4 suit images.
  • N locations may include additional locations for jokers, special cards, blank cards, or other symbols. Decks of cards having more or fewer than 52 cards (e.g., cards with certain cards added or removed) are also contemplated.
  • the calibration file 433 and master images 413 , 415 may be generated using a sub-set of all cards of the deck. In other words, a raw image 417 may not be captured for each and every card in the deck so long as at least one raw image 417 is available for each rank and each suit in the deck. As a result, N may be fewer than the total number of cards in the deck.
  • the memory device 418 is shown in FIG.
  • the memory device 418 may be integrated with the card recognition processor 414 or the memory 432 of the main control system 412 , such that the raw images 417 may be stored in the card recognition processor 414 or the main control system 412 .
  • the memory 432 may also include one or more combined deck sub-directories 440 .
  • Each combined deck sub-subdirectory 440 may include normalized images for a corresponding rank and suit from a plurality of different deck types.
  • a first combined deck sub-directory 440 may have normalized images D 1 , D 2 , . . . D N previously taken from a plurality different deck types for the “2 rank”
  • a second combined deck sub-directory 440 may have normalized “3 rank” images D 1 , D 2 , . . . D N previously taken from a plurality of different deck types for the “3 rank,” and so on.
  • four different combined deck suit sub-directories 440 may be created that have a relatively large number of normalized suit images D 1 , D 2 , . . . D N from different deck types stored therein.
  • Each of the normalized images D 1 , D 2 , . . . D N may be a common size.
  • the normalized images may be stretched so that a pixel from each of the rank and suit is located on an edge of the normalized image.
  • the normalized images may be used in comparison with the master rank and suit images 413 , 415 for linking to the master images 413 , 415 to the appropriate ranks and suits for the particular deck being tuned.
  • the master rank and suit images 413 , 415 (or copies thereof) may also be normalized while tuning the deck by having a common size with the normalized images and stretching the master rank and suit images 413 , 415 so that a pixel from each of the rank and suit is located on an edge of the normalized image.
  • the latch 419 may be configured to select a location in the memory device 418 in which a particular raw image 417 should be stored. For example, as the raw image 417 for a card is successfully stored, the latch 419 may include a flip flop and/or a counter that increments as each raw image 417 is stored so that the raw image 417 for the next card may be stored in the next location in memory device 418 . If the raw image for a card is not successfully stored, the latch 419 may not increment.
  • FIG. 5 is an illustration of a raw image 417 acquired by the imaging device 416 ( FIG. 4 ) of a card handling device, according to an embodiment of the present disclosure.
  • the discussion related to the parameters in FIG. 5 also refers to the hardware environment for acquiring the raw image 417 that described with respect to FIG. 4 .
  • the lines and measurements shown in FIG. 5 illustrate certain parameters that may be determined and included within the calibration file 433 for future use. Future use of the calibration file 433 may include when generating the master images 413 , 415 during the calibration mode, as well as when generating the unknown image 411 used to compare with the master images 413 , 415 during the card recognition mode.
  • the raw image 417 may be acquired from the imaging device 416 .
  • the raw image 417 of FIG. 5 may be one of the raw images 417 that may be stored in the memory device 418 as the cards are read by the card handling device.
  • the raw image 417 may be a grayscale image having a resolution determined by the imaging device 416 (e.g., 320 pixel ⁇ 240 pixel resolution).
  • a grayscale pixel may have relatively large number of different values, whereas a black and white pixel may have the value of either a 1 (black) or a 0 (white).
  • the raw image 417 may be converted from a grayscale image to a black and white image.
  • the card recognition processor 414 FIG.
  • different resolutions and color schemes may be employed, as desired.
  • a full color image may be captured by the imaging device 416 ; however, it should be appreciated that lower resolution and black and white conversion may result in smaller file sizes and reduced processing time.
  • the color (e.g., red or black) of the rank or suit may be one more distinguishing factor to assist in card recognition even though the color is treated as irrelevant in many of the examples described herein. Adding color analysis may increase the accuracy of identifying ranks and suits; however, it may come at the expense of additional complexity and/or processing time.
  • the field of view 502 of the imaging device 416 defines what data is able to be captured by the imaging device 416 for the raw image 417 .
  • the imaging device 416 may be located within the card handling device to capture at least a portion of a card 506 passing through the card handling device.
  • a portion of the card 506 may be positioned within the field of view 502 such that the raw image 417 may include the rank and the suit of the card 506 .
  • the rank is a Queen (Q) and the suit is a spade located in the upper left-hand corner of the card 506 .
  • the rank and suit may be located in other positions on the face of the card 506 .
  • a rank area 508 and a suit area 510 may define an area around the rank and suit, respectively.
  • the rank area 508 and the suit area 510 may completely encompass the rank and the suit of the card 506 . Having a good fit for the rank and suit may reduce the amount of white space in the rank area 508 and the suit area 510 , which may provide a better separation and a more accurate match when comparing master images and unknown images.
  • the rank area 508 and/or the suit area 510 may be a box, a rectangle, or other shape.
  • the rank area 508 has a rank width 516 and a rank depth 518 , which may be measured in pixels.
  • the suit area 510 has a suit width 520 and a suit depth 522 , which may be measured in pixels.
  • the rank area 508 and the suit area 510 may be separated at a split region 509 .
  • the split region 509 is a region (e.g., point, line, etc.) that is between the rank and the suit of the card 506 , which may be used to be a starting point for measuring the rank area 508 and the suit area 510 .
  • the split region 509 may be ignored by finding the rank and suit symbols, such as by blob analysis (described below), and then applying the parameters from the calibration file 433 if the calibration file 433 exists.
  • the main control system 412 may also define a region of interest 504 to be stored in the calibration file 433 so that subsequent analysis may focus on a smaller portion (the region of interest 504 ) of an image rather than a full image (the field of view 502 ).
  • the region of interest 504 is a portion of the field of view 502 that includes the rank area 508 and the suit area 510 of the card 506 . Focusing the analysis of the card to the region of interest 504 may reduce the processing needed for generating master images 413 , 415 .
  • various parameters may be stored in the calibration file 433 in order to assist the generation of the master images 413 , 415 during calibration mode and the generation of the unknown images 411 during card recognition mode. These parameters may be determined by the main control system 412 and stored in the calibration file 433 .
  • the calibration file 433 may include the parameters for the specific deck type. Such parameters may include V_lines 512 , H_lines 514 , rank width 516 , rank depth 518 , suit width 520 , suit depth 522 , H_start 524 , V_start 526 , and V_offset 528 . These parameters may include various locations and measurements within the raw image 417 .
  • V_start 526 is the shift in the X-axis for the finding the region of interest 504 .
  • V_start 526 may be based on the changes in the camera mount position relative to the calibration target.
  • V_start 526 may be set internally by the card recognition processor 414 or the main control system 412 .
  • V_start 526 may be approximately the same for all shufflers of the same model, but may account for small changes in camera mount position between devices.
  • V_offset 528 is the pixel offset that is added along the X-axis to V_start 526 to find the edge of the region of interest 504 .
  • the region of interest 504 may be defined just beyond the edge of the card 506 (e.g., by a few pixels) into the dark background.
  • the V_offset 528 which is a relative offset used to shift the card image further leftward into the region of interest 504 .
  • the V_offset 528 may be determined by checking across all card images that the region of interest 504 edge is just a few pixels away from the card next to each rank/suit image, as the main control system 412 uses a black-to-white transition algorithm to find the edge of the card. In order to compensate for some rotation-caused shifting of the cards, the V_offset 528 may be reduced by a number (e.g., 4 pixels) from the minimal value found across all cards.
  • H_start 524 is a relative offset along the Y-axis that is used to shift the card image to define the upper portion of the region of interest 504 . The higher the value of H_start 524 , the greater the shift. H_start 524 corresponds to a shift of the region of interest 504 downward from the top of the card 506 . H_start 524 may be determined by finding the distance to the black-to-white transition at the top edge of the card 506 and reducing by a number (e.g., 4 pixels) to compensate for some shifting in the cards.
  • V_lines 512 is the number of pixels in the region of interest 504 along the X-axis. In other words, the V_lines 512 is the width of the region of interest 504 . V_lines 512 may be determined by taking the maximum of the center-most edge coordinate for the rank and suit across all cards, and then subtracting V_start 526 and V_offset 528 .
  • H_lines 514 is the number of pixels in the region of interest 504 along the Y-axis. In other words, the H_lines is the depth of the region of interest 504 . H_lines 514 may be calculated by determining the maximum coordinate across all card images for the edge closest to the bottom of the suit.
  • the point having the coordinates (V_start+V_offset, H_start) may be used to define the upper left-hand corner of the region of interest 504 .
  • the size of the region of interest 504 may be defined by the V_lines 512 and H_lines 514 .
  • a smaller window i.e., the region of interest 504
  • Additional parameters may be stored in the calibration file 433 that relate to the operation of the imaging device.
  • additional parameters may include exposure, camera gain, brightness, camera speed, camera resolution, etc., which may be read from registers of the imaging device 416 .
  • Additional parameters may be stored in the calibration file 433 that relate to the deck or the operation of the card recognition mode. Such additional parameters may include preload sets, split_algorithm_select, err_min_rank, err_min_suit, a deck number, and a library number.
  • Split_algorithm_select may be used to indicate the direction that the card recognition processor 414 begins its scan for finding the split region 509 in the unknown image. For example, if there is a non-rank blob (e.g., Wagner symbol or artwork) between the rank and the top edge of the card 506 , the split_algorithm_select may be set to 1 to instruct the card recognition processor 414 to scan the region of interest 504 from bottom to top when finding the split region 509 . The split_algorithm_select may be set to 0 to instruct the card recognition processor 414 to scan the region of interest 504 from top to bottom when finding the split region 509 .
  • a non-rank blob e.g., Wagner symbol or artwork
  • Err_min_rank is a parameter used to identify unknown rank images.
  • the number of black pixels in the unknown image is compared to the number of black pixels in reference images and the reference image with the highest number of pixel matches is determined to be the match. For example, if the score is less than the err_min_rank, the master rank image is reported as being a non-match to the unknown rank image.
  • Err_min_suit is a parameter used to identify unknown suit images. For example, if the score is less than the err_min_suit, the suit image is reported as being a non-match. During a summing determination, a perfect match would have a 100% match rate between the unknown image and a master image. Because of some variations, this may not be the case.
  • the master image having the highest score may be considered the matching symbol. If none of the master images provide a score that exceeds the match threshold (75%) when compared to the unknown image, then the unknown image may remain unknown and an error alert may be provided to the dealer. Situations in which the score may be below the match threshold may include an error in the tuning process, an error in the image capture of the unknown image, a card being turned over, a card being from another deck, a damaged or dirty card, the card handling device being dirty, etc.
  • the deck number may be a unique number for a particular calibration file 433 in order for the dealer to select to be used in the future.
  • the library number may represent the number of times that the calibration file 433 has been updated.
  • the preload sets parameter may represent a number of image shifts that are done during correlation for an image pair (e.g., an unknown image and a master image).
  • the deck number and library number may be stored in a separate deck name file that is different than the calibration file 433 .
  • FIG. 6 is a flowchart 600 illustrating a method for automatically generating a calibration file for a card detection system according to an embodiment of the present disclosure. The method of FIG. 6 is described with reference to the card processing system 400 of FIG. 4 and the raw image 417 of FIG. 5 .
  • the main control system 412 may operate in the calibration mode to tune the card processing system 400 to a particular deck of cards such that the card recognition processor 414 may subsequently identify unknown cards of that particular deck type while operating in card recognition mode.
  • the raw image 417 for the cards in the deck may be captured.
  • the deck of cards may be inserted into the card handling device and read into the card processing system 400 .
  • the raw image 417 may be stored in the memory device 418 in the order that they are received.
  • cards may be sequentially passed through the field of view 502 of the imaging device 416 , and the raw image 417 of at least an area the rank and suit symbols of each card is captured by the imaging device 416 , and moved by the card processing system 400 into the memory device 418 to be used for tuning the card processing system 400 .
  • the cards may be read in a predetermined order (i.e., pre-sorted), while in other embodiments, the cards may be read in any order (i.e., unsorted).
  • the upper left-hand corner of the card may be captured by the imaging device 416 , whereas in other embodiments the imaging device 416 may capture a larger portion of the card face (e.g., the entire card face).
  • a raw image 417 may be stored in the memory device 418 for each card of the deck.
  • the raw images 417 stored in the memory device 418 may not be processed (e.g., cropped or otherwise altered), but represent full images for the entire field of view 502 of the imaging device 416 , including each rank and suit symbol.
  • one or more raw images 417 may be loaded from the memory device 418 to the main control system 412 for image processing and for automatically generating the calibration file 433 .
  • all raw images 417 captured for the card deck may be loaded from the memory device 418 to the main control system 412 for subsequent image processing.
  • each raw image 417 may be loaded to the main control system 412 and subsequently processed one at a time.
  • the location of the rank and suit symbols may be identified within the raw images 417 along with parameters associated with their areas.
  • the main control system 412 may be configured to perform an image processing analysis of each raw image 417 .
  • the image processing analysis may include identification of measurement data (e.g., parameters representative of length, width, areas, coordinates, dimensions, etc.) relating to at least one of a rank area 508 around a rank of the card, and a suit area 510 around a suit of the card.
  • the main control system 412 may perform a “blob” analysis or other similar analysis on one or more of the raw images 417 stored in the memory device 418 .
  • a blob is a connected region in a binary digital image.
  • a blob may include a point and/or a region in the raw image 417 in which the pixel data differs in some property from the pixel data in surrounding areas.
  • the blob analysis may locate black regions of a black-white image or may analyze intensity of a grayscale image.
  • the blob analysis may result in extracting features from an identified blob, such as the orientation of a blob, the centroid of the blob, the height and width of the blob, and other similar features.
  • An example of such an image processing program capable of being programmed to perform the analysis described herein includes OpenCV (Open Source Computer Vision Library) developed by Intel Corporation of Santa Clara, Calif. OpenCV is an open source library that includes a plurality of additional algorithms and sub-features for algorithms that may be used in image analysis.
  • libraries from OpenCV may be employed to perform conversion of images from a grayscale image into a black and white image, finding contours on an image, and filling a contour to isolate a rank and suit within the images.
  • libraries from OpenCV may be employed to perform a blob analysis, optical character recognition (OCR), or other methods that may be used to link the appropriate rank and suit images with the card images, which may enable tuning a deck of cards out of order (as discussed in further detail below).
  • OCR optical character recognition
  • Other software that may be capable of blob analysis and other image processing features may also be employed, such as MATLAB® developed by Mathworks of Natick, Mass.
  • the blob analysis may be configured to locate blobs within a selected raw image 417 .
  • the term “raw image” is used during the description of the blob analysis, the image that is analyzed may be processed.
  • the main control system 412 may convert the raw image 417 to black and white, may crop (or ignore) the raw image 417 to the region of interest 504 around the card 506 that is of a smaller size than the field of view 502 of the imaging device 416 , etc., prior to performing the blob analysis to identify the areas of interest that include the rank and suit of the card 506 .
  • the term “raw image” is intended to mean that the image is not a master image 413 , 415 , and not necessarily that no processing or alteration of the raw image 417 has been performed.
  • the blob analysis may be employed to locate rank and suit symbols, and distinguish between ranks, suits, and other markings on the card.
  • the blob analysis may determine an initial number of blobs within the raw image 417 .
  • the initial number of blobs may be relatively large (e.g., 3000 blobs) based on the artwork on the card that is present within the field of view of the imaging device 416 .
  • the blob analysis may also return a location (e.g., centroid) of each blob within the raw image, as well as the measurements (e.g., height, width, etc.) of each blob.
  • the blob analysis may ignore other blobs based on size, shape, or location in order to arrive at the rank and suit symbols. For example, because the rank and suit of most cards may be expected to have at least a minimum size, blobs smaller than the minimum size may be ignored by the main control system 412 for purposes of finding the areas of interest in the raw image 417 that include the rank and suit. In addition, because the rank and suit of most cards may be expected to be located near the corners of the cards, blobs that are outside of that expected region may also be ignored. As a result, the remaining blobs left to be analyzed should include the one or more blobs corresponding to the rank symbol and the one or more blobs corresponding to the suit symbol on the card.
  • the main control system 412 may identify the “10” rank symbol first (i.e., excluding other cards, such as Jack, King, etc.). Unique characteristics of the rank symbol may be particularly helpful for the main control system 412 to identify the location and dimensions of the 10 rank and also distinguish the 10 rank from the other ranks.
  • the 10 rank may be recognizable because the 10 rank has two relatively large blobs that are side by side. Each of the two blobs may have approximately the same location on the Y-axis for the centroid, along with approximately the same height.
  • the blob analysis may recognize that one blob (the “1”) is narrow whereas the other blob (the “0”) is wide.
  • the 10 rank may also be useful as a basis in defining the measurements for the rank area 508 because the 10 rank symbol is usually the largest of the various rank symbols for many deck types.
  • Identifying a blob as the suit may be determined by locating the relatively large blob near the 10 rank as the suit. In other words, once the blob's location and measurements have been determined for the rank, the location and measurements of the suit may be based on the blob identified as the rank. For example, the suit may also be expected to be the blob located below the rank (in the Y direction), which is the case for most deck types.
  • the main control system 412 may determine the location and measurements of the suit symbol prior to the rank symbol. As a result, once the blob's location and measurements have been determined for the suit, the location and measurements of the rank may be based on the blob identified as the suit. For example, the rank may also be expected to be the blob located above the suit (in the Y direction), which is the case for most deck types.
  • the rank and/or suit symbol may be identified by comparing portions of the raw image 417 against a generic file describing rank and/or suit curvatures, being immune to scale or rotation, for portions of the raw image 417 that are closest to the corner of the card 506 .
  • the rank area 508 and the suit area 510 may be defined. For example, once the blobs are identified for the rank and suit of the card in the raw images 417 , the results from the blob analysis, the locations and measurements (e.g., in pixels) may be further analyzed to define the rank area 508 and the suit area 510 as well as other related parameters that will be part of the calibration file 433 .
  • the rank area 508 and the suit area 510 are areas that are defined based on the location and measurements of the respective ranks and suits for the specific deck type. In other words, there may be one rank area 508 that is defined to be large enough that all ranks from all raw images 417 fit within the rank area 508 . Similarly, there may be one suit area 510 that is defined to be large enough that all suits from all raw images 417 of the deck type fit within the suit area 510 .
  • the main control system 412 may define the rank area 508 to be based on the measurements and location of the 10 rank because the 10 rank is often the largest rank symbol for most decks.
  • the main control system 412 may analyze the measurements for the ranks from all raw images 417 .
  • the largest blob identified as a rank may be used as the basis of the rank area 508 .
  • the main control system 412 may analyze the measurements for the suits from all raw images 417 .
  • the largest blob identified as a suit may be used as the basis of the suit area 510 .
  • the final parameters for the rank area 508 and the suit area 510 that are stored in the calibration file 433 may be determined by taking the maximum measurements of the rank symbol and suit symbol, and then expanding the values slightly to allow for some white space around the ranks and suits. Expanding the maximum value of the ranks and suits in this manner may allow for slight variations in print size, as well as for rotation of cards that may exist when reading in the cards.
  • a region of interest 504 may be defined.
  • the region of interest 504 should be large enough to completely contain each rank and suit symbol of each card of the specific deck type with some additional area added to account for variability in the acquired signal and variability in card position.
  • the region of interest 504 may be defined by measuring a size (e.g., in pixels) and location of each rank area 508 and suit area 510 defined by the system, and identifying an area in which every rank area 508 and suit area 510 appears during the training and calibration phase.
  • the rank area 508 and suit area 510 for the entire deck may be analyzed to determine a minimum number of pixels (in both X and Y directions) to consider to ensure that the rank and suit symbols fall within the region of interest 504 .
  • the minimum number of pixels may be used, whereas in other embodiments the region of interest 504 may include excess pixels to allow for variations (e.g., card orientation) during actual use.
  • the region of interest 504 may be defined by adding a fixed dimension in the X-direction from the right side of the image, while the dimension in the Y-direction may be determined by defining the furthest location from the top of the card 506 in the Y-direction to the bottom of the suit symbol. Because the rank and suit symbols may vary in location, the furthest location may be determined after analyzing the locations of all suits from the image processing analysis. The final dimensions of the region of interest 504 may include some padding on these measurements in each direction to compensate for slight variations in card orientation during use.
  • region of interest 504 has a suitable size and location to ensure that rank and suit symbols within the deck will be within the defined region of interest 504 even if the locations of the rank and suit symbols may vary somewhat.
  • the calibration file 433 may be automatically generated and the parameters may be stored therein.
  • the calibration file 433 may include, among other information, this measurement data, which can be subsequently used by the card processing system 400 in the calibration mode to generate master images 413 , 415 , or during the card recognition mode to identify unknown cards of that particular deck type, as discussed in more detail below.
  • the parameters stored in the automatically generated calibration file 433 may include measurements for the rank area 508 (rank height and rank width) and the suit area 510 (suit height and suit width), and the measurements and coordinates for the region of interest 504 , as well as additional parameters previously discussed with respect to FIG. 5 .
  • the calibration file 433 may be stored in memory 432 within the main control system 412 . Storing the calibration file 433 in memory 432 of the main control system 412 may include storing the calibration file 433 in a subdirectory for the particular deck or deck type that is used to tune the card processing system 400 .
  • the calibration file 433 may further include other parameters that may be used by the card recognition processor 414 in generating master images, cropping unknown images, or for other reasons as discussed above.
  • FIG. 7 is a flowchart 700 illustrating a method for generating master images according to an embodiment of the present disclosure.
  • the method of FIG. 7 is described with reference to the card processing system 400 of FIG. 4 and the raw image 417 of FIG. 5 .
  • the calibration mode may be employed to tune the card processing system 400 for use with a particular deck of cards.
  • the card recognition processor 414 (or, alternatively, the processor 430 of the main control system 412 ) may process the raw images 417 stored in the memory device 418 to generate the master images 413 , 415 for that specific deck type to be used in the card recognition mode of the card processing system 400 .
  • a calibration file 433 has already been created, such as by the method of FIG. 6 , or other methods described herein.
  • the calibration file 433 may be automatically created using image processing methods to locate rank and suit symbols in the raw images 417 and determine parameters (e.g., rank area 508 , suit area 510 , region of interest 504 , etc.) regarding measurements of the rank and suit symbols.
  • parameters e.g., rank area 508 , suit area 510 , region of interest 504 , etc.
  • these parameters may be included with the calibration file 433 that may be stored in the deck library 434 of the file system 431 maintained by the main control system 412 .
  • the raw images 417 may be loaded into the main control system 412 and/or the card recognition processor 414 . If the raw images 417 are already stored in the memory device 418 , the raw images 417 may be retrieved from the memory device 418 . Thus, the raw images 417 used to generate the master images 413 , 415 may be the same raw images 417 that were used in the analysis for automatically generating the calibration file 433 . If the raw images 417 are not stored in the memory device 418 , a deck of the same deck type may be read by the card processing system 400 so that new raw images 417 may be generated and loaded.
  • the raw images 417 may be converted to the master images 413 , 415 .
  • the card recognition processor 414 may convert the raw images 417 to the master images 413 , 415 .
  • the card recognition processor 414 may receive and crop the raw images 417 according to the parameters previously stored in the calibration file 433 to automatically generate a master rank image 413 and the master suit image 415 for the card 506 .
  • FIGS. 8A through 8C illustrate a process of generating the master rank image 413 and the master suit image 415 from the raw image 417 according to the parameters stored in the calibration file 433 .
  • the first cropping of the raw image 417 may be to limit a processed image 800 of the card 506 (seven of diamonds shown in FIG. 8A ) to have an area that is determined by the region of interest 704 stored in the calibration file 433 .
  • the processed image 800 shown in FIG. 8A may have been generated from the raw image 417 .
  • the processed image 800 may be a black and white image, whereas the original raw image 417 may have been a grayscale image or a color image.
  • the secondary cropping includes cropping the processed image 800 of FIG. 8A to generate the master images 413 , 415 .
  • the master rank image 413 may be the result of cropping the processed image 800 according to the parameters of the calibration file 433 that correspond to the rank area 508 .
  • the master suit image 415 may be the result of cropping the processed image 800 according to the parameters of the calibration file 433 that correspond to the suit area 510 .
  • the card recognition processor 414 may crop the raw images 417 according to stored region of interest 504 , rank area 508 , suit area 510 to generate separate master images 413 , 415 for the rank and the suit of the card.
  • the other parameters (e.g., offset values) stored in the calibration file 433 may assist in locating the rank and suits so that the application of the rank area 508 and suit area 510 parameters may result in master images 413 , 415 that contain the entirety of the rank and suit, along with the desired alignment.
  • FIGS. 8B and 8C show the rank and suit to be shifted to the left and upper edges of the rank area 508 and the suit area 510 , there may be some padding (i.e., white space) on each edge.
  • the rank and suit may be shifted toward one of the corners as shown.
  • a single master image may be generated for each card that includes both the rank and the suit (essentially the region of interest 504 ). Doing so, however, may require 52 master images (one for each card) rather than having as few as 17 master images (one for each rank and one for each suit), which may change the processing time during the card recognition mode.
  • the master images 413 , 415 may be stored in the appropriate deck library 434 together with the corresponding calibration file 433 , deck name file 435 , and other related files.
  • the master images 413 , 415 may be stored as image files (e.g., bitmap files) in the deck library 434 of the file system 431 of the main control system 412 .
  • the master images 413 , 415 may further be loaded into the memory of the card recognition processor 414 for comparison with the unknown images 411 during card recognition mode.
  • the master images 413 , 415 may be separate files stored in the same subdirectory of the file system as the calibration file 433 (e.g., a text file).
  • the calibration file 433 may be combined in a file with the master images 413 , 415 such that a single file may include image data and the calibration parameters.
  • 18 master images 413 , 415 may be stored: one master rank image 413 for each rank (2-10, J, Q, K, A) and one master suit image 415 for each suit (Heart, Diamond, Club, Spade), as well as a master image for a joker.
  • the master image for a joker may be stored as a rank.
  • Other symbols may also be printed on the face of some of the cards. For example, a “Wagner” symbol is a special symbol printed on some of the cards for a deck that is used in certain card games in order to assist in game play.
  • a Wagner symbol is typically useful during blackjack by being printed on the face of each card having a value of ten (i.e., each 10 rank, Jack rank, Queen rank, King rank) and eleven (i.e., each Ace rank) to assist with the determination that the dealer has a “21.”
  • the Wagner symbol is often a polygon shape that is located between the rank and the top of the card.
  • a master image for a Wagner symbol may be created and stored, while in some embodiments the Wagner symbol may simply be ignored by the main control system 412 .
  • Other special symbols may also be treated similarly.
  • the master images 413 , 415 may be linked with the correct rank and suit such that the card processing system 400 may know which master image 413 , 415 corresponds to the correct rank and suit.
  • the link may be known by the card processing system 400 , such as by creating a list in the calibration file 433 , by storing the information in another file in the deck library 434 , or by some other suitable method.
  • the files for the master images 413 , 415 may be named (or re-named) to have an identifier (e.g., name, number, etc.) that indicates what the rank or suit is for each master image 413 , 415 .
  • each card in the deck may be known when master images 413 , 415 are generated because the deck may be pre-sorted when the raw images 417 are captured.
  • each master image 413 , 415 may be linked to the correct rank or suit based on the expected order of the pre-sorted deck as the raw images 417 were saved in the memory device 418 .
  • Such an embodiment may rely on the card manufacturer or technician (or dealer, pit boss, etc.) who inserts the deck into the card handling device to insert a pre-sorted deck. Inserting an unsorted deck into such an embodiment may result in improper links being established between the master images 413 , 415 and incorrect ranks and suits.
  • the deck may not be required to be in any particular order when generating the master images 413 , 415 .
  • the card processing system 400 may be configured to make the proper links between the master images 413 , 415 and the correct ranks and suits even with an unsorted deck.
  • the main control system 412 may perform additional image processing on the master images 413 , 415 in order to determine which rank or suit should be linked to each master image 413 , 415 .
  • the master images 413 , 415 are not linked to any particular rank or suit, and the actual identity of the master image 413 , 415 may not yet be known to the main control system 412 .
  • there may be a plurality of combined deck sub-directories 440 ( FIG. 4 ) that include a plurality of normalized images for a corresponding rank and suit from a plurality of different deck types. While tuning the master images 413 , 415 for a particular deck, the identity may be determined by comparing normalized versions of the master images 413 ′, 415 ′ with the normalized images D 1 , D 2 , . . . D N stored in the combined deck sub-directories 440 .
  • FIGS. 8D and 8E show an example of how the master images 413 , 415 may be normalized to form normalized master images 413 ′, 415 ′.
  • the 7 rank may be normalized by cropping the master rank image 413 so that there is at least one black pixel from the 7 rank along the outer border of the cropped image (represented by box 802 ).
  • the cropped rank image may be expanded to a common image size (e.g., rank area 508 ) as indicated by the arrows shown in FIG. 8D .
  • the other master rank images 413 may be normalized in a similar manner. Referring to FIG.
  • the diamond suit may be normalized by cropping the master suit image 415 so that there is at least one black pixel from the diamond suit along the outer border of the cropped image (represented by box 804 ).
  • the cropped rank image may be expanded to a common image size (e.g., suit area 510 ) as indicated by the arrows shown in FIG. 8E .
  • the other master suit images 415 may be normalized in a similar manner.
  • the normalized master rank and suit images 413 ′, 415 ′ may appear to be somewhat “bloated” in comparison to the master rank and suit images 413 , 415 .
  • the normalized images D 1 , D 2 , . . . D N of the combined deck sub-directories 440 may be normalized in a similar manner having a common image size as the normalized master rank and suit images 413 ′, 415 ′.
  • the normalized master images 413 ′, 415 ′ may be compared with the normalized images D 1 , D 2 , . . . D N of the combined deck sub-directories 440 .
  • the comparison of the normalized master images 413 ′, 415 ′ with the normalized images D 1 , D 2 , . . . D N of the combined deck sub-directories 440 may be performed by a pixel to pixel comparison (e.g., X-OR comparison) to arrive at a score that is used to determine whether a match occurs.
  • a pixel to pixel comparison e.g., X-OR comparison
  • an unknown normalized master rank image 413 ′ may be compared to the normalized images D 1 , D 2 , . . . D N of a first combined deck sub-directory 440 (e.g., all 2 ranks stored therein) to produce a first score.
  • the first score may be a combined score for all 2 ranks of the sub-directory 440 or a plurality of individual scores for each normalized images D 1 , D 2 , . . . D N .
  • the unknown normalized master rank image 413 ′ may then be compared with the normalized images D 1 , D 2 , . . .
  • D N for each of the remaining combined deck sub-directories 440 (e.g., as a loop) to produce the scores for each of them.
  • the highest score produced may indicate the identity of the unknown normalized master rank image 413 ′.
  • An unknown master suit image 415 ′ may likewise be compared with the appropriate combined deck sub-directories 440 to produce a score that indicates the identity of the master suit image 415 ′.
  • the comparisons may include a pixel by pixel comparison (e.g., X-OR) for each of the normalized images.
  • the comparison may further include a comparison of a pixel as well as its neighboring pixels to count in the score. For example, pixels that are not located on the edges of the image have eight bordering pixels. A valid count may be added to the score if the bordering pixels are also the same as the middle pixel being used in the comparison.
  • the spades and clubs may appear somewhat similar such that false identifications may occur.
  • the normalized images D 1 , D 2 , . . . D N of the combined deck sub-directories 440 may be altered somewhat to further distinguish the two types of suits.
  • the normalized images D 1 , D 2 , . . . D N of the combined deck sub-directories 440 that correspond to the clubs may have a circle (or other shape) drawn within each of the leaves.
  • the unknown master suit images 415 that correspond to clubs may be identified in an alternative method, such as counting pixels across a different path (e.g., a 45-degree line from the middle left side of the image to the middle top side of the image) that will identify the different shapes of the club versus the spade.
  • a different path e.g., a 45-degree line from the middle left side of the image to the middle top side of the image
  • the master images 413 , 415 may be compared with each other to determine secondary relationships between master images 413 , 415 and identify the correct rank and suit for each master image 413 , 415 .
  • the method of comparison includes determining a score, which may be represented by a number (or percentage) of matched pixels or a number (or percentage) of unmatched pixels.
  • the method of comparing may include comparing a shape of an edge of a symbol, or other methods of comparison.
  • a first master rank image 413 is compared with a second master rank image 413 , the first master rank image 413 is then compared with a third master rank image 413 , the first master image rank image 413 is then compared with a fourth master rank image 413 , and so on.
  • a comparison for each permutation of all master rank images 413 , and a score may be recorded for each individual permutation among the group of master rank images 413 .
  • a similar comparison may be performed to obtain a score for a comparison of each permutation of the master suit images 415 .
  • each rank may have a different rank that, when compared, yields a closest secondary match relative to its comparison with the other ranks.
  • the following table may represent the next best match for various ranks.
  • the score represented in Table 1 below is a percentage of pixel matching as described in further detail below.
  • next Best Match Rank shown in Table 1 is to be understood as an example for one style of card deck.
  • scores shown in Table 1 may be approximates.
  • decks may vary from one design to the next, the next best match and the score may also differ from one deck to the next.
  • the analysis regarding the secondary comparisons of master images 413 , 415 may also consider the expected matches beyond the next best match. In other words, the accuracy may be improved if the third best match, the fourth best match, etc. may be considered.
  • a specific master image 413 , 415 may be used as a baseline master image to determine the links for the other master images.
  • the blob analysis may be used to identify a 10 rank by searching for the unique characteristics of the 10 rank as discussed above.
  • the master rank image 413 for the 10 rank may then be used to compare with the unknown master rank images 413 .
  • the 10 rank is compared with an unknown master rank image 413 to obtain a first score
  • the 10 rank is compared with another unknown master rank images 413 to obtain a second score
  • Each rank may have a score that is different with respect to a comparison with the 10 rank. These different scores may correspond to a rank based on the expected relative match to the 10 rank.
  • the highest score resulting from using the 10 rank as a baseline master rank image 413 may be linked to the Queen rank (the closest next best match in this example). Once the Queen rank has been identified, its master rank image 413 may be compared to the other master rank images 413 , from which the four rank may be identified as the highest score that resulted from the comparisons with the Queen rank. Analyzing these secondary relationships in view of expected secondary relationships may result in the various master images 413 , 415 being linked to the correct ranks and suits.
  • the deck may be required to be only partially sorted, such as requiring the technician to have a specific card as the first card read from the deck.
  • the Queen of Hearts may be required to be the first card read from the deck.
  • the master images 413 , 415 for the Queen rank and the Hearts suit may then be used as the baseline master rank image 413 similar to the process described above for using the 10 rank.
  • secondary analysis may be used to determine the identity of the suit for the master suit image 415 , such as analyzing the curvature of the suit shapes or from comparisons of the other master suit images 415 to determine the identity from secondary relationships of non-matching master images.
  • Such secondary analysis may be beneficial for situations when the deck may not be sorted in any particular order.
  • Such secondary analysis may also be performed for other reasons, such as to verify the order of a sorted deck (e.g., the system may still require a sorted deck, but these secondary relationships may provide a way to alert the operator that the deck was not sorted properly), verify a correct deck (e.g., 52 unique cards exist), and verify quality of the total scan (e.g., identify dirty cards).
  • secondary verification may be desired to determine whether the tuning process was correct.
  • One example may include comparing master images 413 , 415 with each other to determine secondary relationships. For example, such secondary relationships may identify incorrect relationships because a card that was out of order.
  • Another secondary verification for a pre-sorted deck may be a simple check to see if the 10 ranks are in the correct location rather than verifying each and every card.
  • Another secondary verification may be to display the master image and what the card recognition system determined the identification to be. The operator may be allowed to select whether the identification is correct and to make any changes if incorrect.
  • the card processing system 400 may be said to be “calibrated” or “tuned” as to the particular deck type.
  • only a selected portion of the raw images 417 may be fed back from the memory device 418 into the card recognition processor 414 for generating the master images 413 , 415 .
  • only one image for each rank from one of the suits may be used to generate the master rank images 413 .
  • the Ace of Diamonds may be used to obtain the master image linked with the Ace rank, while the other Ace ranks (e.g., Ace of Spades, Ace of Hearts, Ace of Clubs) may be ignored.
  • the master rank images 413 for the other ranks may be generated in a similar manner. While generating the master images 413 , 415 for the ranks, certain card images may be selected to generate the master suit image 415 for each suit as well.
  • each raw image 417 may be used to obtain a master image 413 , 415 for each rank and suit.
  • a plurality of master images 413 , 415 may be generated for each rank and suit.
  • four separate master rank images 413 may be created for the Ace rank (i.e., one Ace image from a card for each suit).
  • the main control system 412 may then analyze each of the master rank images 413 for that rank to determine which of the master rank images 413 is desired to be used as the ultimate master rank image 413 during the card recognition mode. In other words, the main control system 412 may choose what it considers “the best” image from among a plurality of images to select the master image 413 , 415 for a particular rank or suit.
  • the best image may be determined by comparing against each of the other master images 413 , 415 to obtain a score that is most dissimilar to the other master images 413 , 415 of a different type so that the separation between master images 413 , 415 is the greatest.
  • each of the master rank images 413 from a single rank e.g., four different Ace images
  • the Ace image (from among all Ace images) that provides the most dissimilar score when compared with the images from the other ranks may be Ace image selected for the master rank image 413 for the Ace rank.
  • Other factors or determinations may be used for, or contribute to, the determination of which master image 413 , 415 is to be used as the master image 413 , 415 for a particular rank or suit.
  • the main control system 412 may employ OCR techniques to recognize the identity of the correct rank or suit of the each master image 413 , 415 from contours identified in the master images 413 , 415 to be linked with the correct rank and the suit of the master image 413 , 415 .
  • FIGS. 9A, 9B, and 9C are a series of card images 900 A, 900 B, and 900 C that illustrate a method for generating master images by finding and filling contours according to another embodiment of the disclosure.
  • a contour is a line that identifies an edge of a white area within the card image that is not connected to any other white area within the card image.
  • the grayscale image from a raw image 417 may be converted to a black and white image.
  • the card area may be white and the ranks and suits may be black.
  • these white and black regions may be inverted, as is the case for the images in FIGS. 9A-9C, 10A and 10B .
  • contours may be identified by an image processing analysis program (e.g., OpenCV), such that the white area from the Jack rank and the diamond suit stands out from the black area for the card background. Other white space is filled, which may occur in stages, as shown in FIGS. 9B and 9C .
  • OpenCV image processing analysis program
  • FIGS. 10 and 11 show histogram groups 1000 , 1100 that may result from an OCR analysis of the master suit images and the master rank images generated by the contour analysis illustrated in FIGS. 9A-9C .
  • OCR may be employed during the tuning mode, particularly for determining the rank and the suit of the unknown master images when the cards are not sorted and are not read in any particular order that is expected by the main control system 412 .
  • OCR may employ an artificial neural network machine-learning algorithm for analyzing the contours of the master images 415 , 415 .
  • the image in the lower left corner of each of the histogram groups 1000 , 1100 is the master image 413 , 415 that is unknown and to be determined.
  • An image 1001 in the upper left corner of each of the histogram groups 1000 , 1100 is a sum (a numerical count) of the white pixels along each column of the master image 413 , 415 (i.e., a vertical histogram).
  • the white pixels in the first column of pixels of the master image 413 , 415 may be counted, with the sum being represented by the number of pixels in the light region of the first column of the image 1001 .
  • the corresponding dark region of the first column of the image 1001 may represent the sum of black pixels in the first column of pixels of the master image 413 , 415 .
  • An image 1002 in the lower right corner of each of the histogram groups 1000 , 1100 is a sum of the white pixels along each row of the master image 413 , 415 (i.e., a horizontal histogram).
  • the white pixels in the first row of pixels of the master image 413 , 415 may be counted, with the sum being represented by the number of pixels in the light region of the first column of the image 1002 .
  • the corresponding dark region of the first row of the image 1002 may represent the sum of black pixels in the first row of pixels of the master image 413 , 415 .
  • An image 1003 in the upper right corner of each of the histogram groups 1000 , 1100 is a low resolution image (e.g., 5 ⁇ 5 pixels) of the master image 413 , 415 .
  • the images 1001 , 1002 , 1003 may be compared with previous OCR results of other normalized rank and suit images for one or more deck types to determine the correct rank or suit of the master images 413 , 415 .
  • FIG. 12 is a flowchart 1200 illustrating a method for determining the identity of unknown images according to an embodiment of the present disclosure. The method of FIG. 12 is described with reference to the card processing system 400 of FIG. 4 and the raw image 417 of FIG. 5 .
  • the card recognition mode may be employed to operate the card processing system 400 that has been tuned to a deck of cards to recognize the identity of unknown cards as the cards pass through the card handling device.
  • the card recognition processor 414 (or, alternatively, the processor 430 of the main control system 412 ) may process the unknown images 411 to be compared with the master images 413 , 415 for determining a match.
  • the card recognition processor 414 may be initialized by loading the calibration file 433 and the master images 413 , 415 into the card recognition processor 414 from the appropriate deck library 434 for the deck type being used.
  • the operator e.g., dealer
  • the operator may select the appropriate deck type (corresponding to the deck name file 435 ) from an interface of the card handling device.
  • Loading the calibration file 433 may include loading the actual file itself, or loading at least some of the information contained therein.
  • an unknown image 411 may be captured.
  • the dealer may place the deck into the card handling device for shuffling, for dealing, etc.
  • the imaging device 416 may capture an unknown image 411 of the card responsive to the trigger signal from the card present sensor 420 .
  • Unknown images 411 may be captured during game play to verify hands, at the beginning of game play to verify a deck, etc.
  • the unknown image 411 may be converted from a raw image to generate unknown rank and suit images.
  • the card recognition processor 414 may generate an unknown rank image and an unknown suit image from the unknown image 411 .
  • Generating an unknown rank image and an unknown suit image may mean generating separate files from the unknown image, but also embodiments in which boundaries for the rank and suit areas are simply defined within the unknown image 411 so that any further comparison is limited to within the defined boundaries.
  • the unknown rank image and the master rank images 413 may be the same size (i.e., dimensions), and the unknown suit image and the master suit images 415 may be the same size.
  • the card recognition processor 414 may also convert the unknown image 411 from a grayscale image to a black and white image.
  • the unknown image 411 (e.g., the unknown rank and suit images) may be compared to the master images 413 , 415 .
  • the comparison may be based on comparing pixel to pixel of each file to generate a correlation score.
  • the score may be represented as a number of pixels, a percentage of pixels, or other suitable form.
  • each master image may be scanned across a larger unknown image 411 to determine a plurality of scores that may be used to determine if a match exists.
  • contours may be determined and analyzed using an OCR method.
  • the card recognition processor 414 may compare the unknown image 411 against the set of master images 413 , 415 to determine the identity of the card. For example, the card recognition processor 414 may compare the unknown rank image (e.g., a separate image or a defined boundary around the rank) against each of the thirteen master images for the ranks (2-10, J, Q, K, A). The card recognition processor 414 may also compare the unknown suit image (e.g., a separate image or a defined boundary around the suit) against each of the four master images for the suits (Diamond, Heart, Spade, Club). Based on the results of these comparisons, the card recognition processor 414 may determine the identity of the card by selecting the symbols with the highest degree of correlation. The card recognition processor 414 may perform a plurality of processes that at least partially overlap in time. As a result, the unknown image 411 may be compared with a plurality of different master images 413 , 415 at the same time.
  • the unknown rank image e.g., a separate image or a defined boundary around the rank
  • the comparison may include comparing the unknown image 411 and the master images 413 , 415 pixels by pixel across each row of each image array.
  • the card recognition processor 414 may perform an inverted XOR operation of the corresponding pixels of the unknown image 411 and one of the master images 413 , 415 .
  • the comparison may include comparing cross-correlation values of matrices from the master image 413 , 415 and the unknown image 411 . Such a cross-correlation function may, however, require a larger amount of computational resources than embodiments that include a more simple summation.
  • a match is determined based on the score.
  • the result of the inverted XOR operation may be summed to obtain a score (e.g., a numeric sum).
  • a black pixel (1) compared with a black pixel (1) may add to the score
  • a white pixel (0) compared with a white pixel (0) may add to the score
  • a black pixel (1) compared with a white pixel (0) may not add to the score.
  • a larger score may indicate a greater number of matching pixels.
  • the score may be represented as a raw number of matching pixels or as a percentage of the total number of pixels of the images.
  • a score of 100% may be a perfect pixel to pixel match of the unknown image and a master image.
  • a perfect match may not be reasonable to expect, and a match may still be found for a score having a percentage less than 100%.
  • a minimum threshold may be set for what the card processing system 400 may consider a match.
  • the inverted XOR operation may be implemented as another logic operation.
  • like pixels may be added and dissimilar pixels may be not counted, while in other embodiments, dissimilar pixels may be added and then subtracted from the total number of pixels to determine the score.
  • some embodiments may include counting the number of pixels that do not match and using the lowest score below some threshold for non-matching pixels.
  • the card processing system 400 may generate either a valid card ID (if a match is determined) or an indication of an error (if a match is not determined). For example, the card recognition processor 414 may return a score resulting from the comparison of the unknown image 411 with each master image 413 , 415 . To obtain a “match,” the score may be required to be above a minimum error threshold. In some situations, the scores for more than one master image may be above the minimum error threshold. The highest score, however, will be selected as the valid card ID. In other words, the master image 413 , 415 used in the comparison that resulted the highest score may be selected as the card ID (assuming the score is above a minimum error threshold).
  • a deck may also be flagged as being invalid if a pre-determined (e.g., 6) number of errors (e.g., misread cards) occur during card recognition.
  • the score may be based on the dissimilar pixels. Thus, a match would occur for the lowest score of dissimilarity (0% for a perfect match) above a maximum error threshold rather than being based on the score of similar pixels.
  • the card handling device may display an image of the card acquired by the imaging device 416 on a display device of the card handling device. Such an image displayed on the display device may be viewed by the operator for verification that the valid card ID is the correct determination, or as a way to see an image of the card that produced an error indication.
  • FIGS. 13A, 13B, and 13C show a processed image 1300 A, 1300 B, 1300 C of a card 1306 A, 1306 B, 1306 C, in which the imaging device 416 ( FIG. 4 ) had experienced dust build-up on the lens. Dust may accumulate on the lens with use of the card handling device.
  • FIG. 13A is an example of dust build-up after a first number cycles
  • FIG. 13B is an example of dust build-up after a greater number cycles
  • FIG. 13C is an example of dust build-up after many additional cycles.
  • the raw image 417 may become a different shade of gray in terms of the grayscale image.
  • the white area may become a little more gray and the black area may become a little less black.
  • each pixel in a grayscale image has a value between white and black.
  • a threshold value may be used as the cutoff point between black and white. As a result, the white area of the processed black and white image may become smaller as the camera accumulates dust.
  • the card recognition processor 414 may be configured to correct for dust build-up.
  • the threshold value may be dynamically changed over time to compensate for dust build-up.
  • the threshold may change to have different levels over time.
  • the threshold may be used to convert the grayscale image to a black and white image during the calibration mode.
  • the threshold may be set to a first level during calibration mode, and to a second level during card recognition mode.
  • the dynamic changes (from the first level to the second level) may be performed to compensate for changes in lighting conditions. It is also contemplated that the dynamic changes may be based on other conditions.
  • the number of cycles may be counted and the threshold may dynamically change with the number of cycles.
  • one or more data filters may be employed to further improve the processed image during conversion from grayscale to a black and white image.
  • FIGS. 14A and 14B illustrate a problem of incorrectly splitting an image that may arise during calibration mode and/or card recognition mode.
  • incorrectly splitting an image may often occur when the imaging device 416 ( FIG. 4 ) is not clean or if the actual card itself has a mark.
  • a blemish 1401 may appear on an image 1400 that is used to generate master images 413 , 415 (in calibration mode) or the unknown images 411 (in card recognition mode) for a card 1406 ; however, it may be more likely for a card to have a blemish 1401 during card recognition mode (because of the repeated use of the card over time).
  • the blemish 1401 may be mistaken for either the rank or suit, often because the card recognition processor 414 may first look for the split between the rank and suit as a starting point in the analysis. As shown in FIG. 14A , the card recognition processor 414 may mistake a space between the blemish 1401 and the rank as the split point. As a result, the card recognition processor 414 may generate the localized image as the master rank image 413 during the calibration mode (or as the unknown rank image during the card recognition mode) based on the either the rank area 508 in the calibration file. The localized image, however, does not include the proper portion of the image 900 that includes the entire rank.
  • the card recognition processor 414 may not create the unknown images 411 based on finding a split between the rank and suit symbols. Rather, during the card recognition mode, the card recognition processor 414 may compare the master images 413 , 415 to the entire unknown image 411 rather than first generating a smaller localized image of just the rank or the suit. In other words, the entire field of view (or a portion thereof) that includes both the rank and the suit for the unknown image may be used for comparison with the master images 413 , 415 . As a result the unknown image 411 may be larger than the master images 413 , 415 .
  • the card recognition processor 414 may perforin a plurality of comparisons of each master image 413 , 415 and the unknown image 411 by scanning the master image 413 , 415 across the unknown in an overlapping manner. For example, the master image 413 , 415 may begin this comparison in the top left corner of the unknown image 411 and scan across pixel by pixel to the top right corner. The master image 413 , 415 may then be moved down a row of pixels moving along the pixels of that row, and so on. If at some point during this scanning, a score results in a match, the card may be identified.
  • FIGS. 15A, 15B illustrate an issue that may arise when capturing an image using uneven illumination and fisheye distortion.
  • FIG. 15A is a raw image 1500 A using a grid for illustration.
  • FIG. 15B is a processed image 1500 B showing the grid after conversion from grayscale to black and white.
  • uneven lighting may cause some portions of the raw image 1500 A to appear dark when they are actually white.
  • recognition may not be as accurate due to a lower score when comparing images, or for more serious problems such as incorrect splitting ( FIGS. 14A, 14B ).
  • Uneven illumination may be corrected in a similar manner to the correction for dust build-up on the imaging device 416 ( FIG. 4 ).
  • the card recognition processor 414 may be configured to dynamically change the threshold value used in the conversion from the grayscale image to the black and white image. The dynamic change may be responsive to a number of cycles of the imaging device 416 , a light sensor detecting illumination changes, or other changes in the environment.
  • one or more data filters may be employed to further improve the processed image 1500 B during conversion from grayscale to a black and white image.
  • FIGS. 16A, 16B, 16C are raw images 1600 A, 1600 B, 1600 C from the imaging device 416 ( FIG. 4 ) of a card handling device showing fish eye distortion caused by the imaging device 416 .
  • short distances between the lens and the card caused by very small spaces within the card handling device and proximity of the imaging device 416 to the card may require a fisheye lens to be used with the imaging device 416 .
  • the fisheye lens may provide a wide field of view for the imaging device 416 that is sufficient to view the rank and suit for different types of cards. For example, some decks may have relatively large ranks and suits that take up a large area of the corner of the card. In addition, the location of the rank and suit may vary from one deck to another.
  • the fisheye lens may introduce fisheye distortion in the raw images 1600 A, 1600 B, 1600 C taken by the imaging device 416 .
  • FIG. 11A shows a raw image 1600 A of a grid in which the squares of the grid are equal sizes.
  • the fisheye distortion causes the squares of the grid to appear to be different sizes throughout the raw image 1600 A.
  • the fisheye distortion may not be as pronounced; however, near the edges and corners of the raw image 1600 A, the fisheye distortion becomes more pronounced.
  • FIGS. 16B and 16C are raw images 1600 B, 1600 C taken with the imaging device 416 with a lens having fisheye distortion.
  • the shapes of the diamond suits vary because of the different placement of the diamond suits within the field of view of the imaging device 416 .
  • the diamond suit in FIG. 11B is smaller than the diamond suit in FIG. 11C because it is located further from the center of the field of view.
  • the Ace (A) rank in FIG. 11B is mostly centered within the field of view.
  • the King (K) rank in FIG. 16C is off-center and is smaller near the top of the rank compared with the bottom of the rank.
  • the more distortion experienced by the ranks and suits in an image the greater the effect the distortion may have for the score from the comparison with the master images 413 , 415 for the ranks and suits when determining the card ID.
  • fisheye distortion has caused a misidentification of the card ID (e.g., the suit is identified as a spade when the suit was really a diamond).
  • the card processing system 400 may be configured to correct for such fisheye distortion.
  • the fisheye distortion may be reduced, such as by stretching the distorted image.
  • the image pixels may be translated from the raw image 1600 A, 1600 B, 1600 C to a corrected raw image according to a correction table (i.e., look-up table).
  • the image pixels may be mathematically translated from the raw image to a corrected raw image.
  • FIGS. 17A, 17B, 17C are images 1700 A, 1700 B, 1700 C for which the fisheye distortion has been reduced through mathematical stretching of the distorted image.
  • the grid which was distorted in FIG. 16A
  • the diamond suit which was distorted in FIG. 16B
  • the diamond suit is now substantially symmetrical even though the diamond suit is off-center and proximate the edge of the image.
  • each of the King rank (K) and the diamond suit (which were distorted in FIG. 16C ) are no longer distorted.
  • a method of automatically generating a calibration file for a card handling device comprising: capturing a raw image from at least a portion of a card passing through a card handling device; and using a processor, automatically generating a calibration file stored in memory of a main control system linked with the card handling device, wherein automatically generating the calibration file comprises: identifying at least one parameter associated with a rank area around a rank of the at least a portion of the card; identifying at least one parameter associated with a suit area around a suit of the at least a portion of the card; and storing the at least one parameter associated with the rank area and the at least one parameter associated with the suit area in the calibration file.
  • Embodiment 1 or Embodiment 2 wherein capturing a raw image includes capturing a plurality of raw images from a plurality of different cards passing through the card handling device.
  • identifying at least one parameter associated with the rank area includes: identifying a at least one parameter associated with a plurality of rank areas from the plurality of different cards; and selecting the at least one parameter associated with the rank area to include a rank width parameter having a number of pixels representative of a width that is a widest dimension from the plurality of rank areas, and to include a rank depth parameter having a number of pixels representative of a depth that is a longest dimension from the plurality of rank areas.
  • identifying at least one parameter associated with the suit area includes: identifying at least one parameter associated with a plurality of suit areas from the plurality of different cards; and selecting at least one parameter associated with the rank area to include a suit width parameter having a number of pixels representative of a width that is a widest dimension from the plurality of suit areas, and to include a suit depth parameter having a number of pixels representative of a depth that is a longest dimension from the plurality of suit areas.
  • a method of automatically generating one or more deck libraries for one or more decks of cards comprising: using a processor to automatically generate a first calibration file without user input in identifying at least one parameter associated with a rank area and at least one parameter associated with a suit area for a first deck type of cards, the calibration file including the parameters associated with the rank area and the suit area; storing the first calibration file in a first deck library for the first deck type; using the processor to automatically generate a plurality of master images for the cards of the first deck type using the parameters from the calibration file; and storing the plurality of master images for the cards of the first deck type in the first deck library.
  • Embodiment 7 further comprising: using the processor to automatically generate a second calibration file for a second deck type of cards; storing the second calibration file in a second deck library for the second deck type; using the processor to automatically generate a second plurality of master images for the cards of the second deck type using the parameters from the second calibration file; and storing the second plurality of master images for the cards of the second deck type in the deck library.
  • Embodiment 7 or Embodiment 8 further comprising linking each master image of the plurality of master images with an appropriate rank or suit.
  • linking each master image of the plurality of master images includes linking each master image according to an expected order that the cards were read into a card handling device.
  • linking each master image of the plurality of master images includes linking each master image from a deck that is unsorted.
  • Embodiment 14 wherein comparing a normalized version of each master image of the plurality of master images with a set of normalized images from a plurality of different deck types includes performing a pixel by pixel comparison.
  • identifying at least one parameter associated with a rank area and at least one parameter associated with a suit area for a first deck type of cards includes performing a blob analysis to locate a rank and a suit for a card of the first deck type within a region of interest.
  • Embodiment 17 wherein performing a blob analysis includes first locating a 10 rank to determine a width for the at least one parameter associated with the rank area.
  • a card processing apparatus comprising: a memory device; an imaging device operably coupled with the memory device, such that raw images from the imaging device are stored in the memory device; and a main control system coupled with the imaging device, wherein the main control system is configured to run an operating system having a file directory system configured to store a plurality of deck libraries for a plurality of different deck types, wherein the main control system is configured to receive the raw images from the memory device, automatically generate a calibration file having parameters related to a rank area and a suit area for a deck type.
  • the card processing apparatus of Embodiment 19 including a card shuffler housing the memory device, the imaging device, and the main control system.
  • the card processing apparatus of Embodiment 22 wherein the card recognition processor is configured to compare the unknown image with the plurality of master images by comparing the unknown image with each master image pixel by pixel and sum the result of the comparing.

Abstract

A method of automatically generating a calibration file for a card handling device comprises automatically generating a calibration file stored in memory of a main control system for a card handling device. Automatically generating the calibration file comprises identifying at least one parameter associated with a rank area around a rank of the at least a portion of the card, identifying at least one parameter associated with a suit area around a suit of the at least a portion of the card, and storing the at least one parameter associated with the rank area and the at least one parameter associated with the suit area in the calibration file. Additionally, a method of automatically generating deck libraries for one or more decks of cards comprises automatically generate a plurality of master images for the cards of the first deck type using the parameters from the calibration file.

Description

CROSS-REFERENCE TO RELATED APPLICATION
This application is a continuation-in-part of U.S. patent application Ser. No. 13/631,658, filed Sep. 28, 2012, now U.S. Pat. No. 9,378,766, issued Jun. 28, 2016, and entitled “Card Recognition System, Card Handling Device, and Method for Tuning a Card Handling Device,” the disclosure of which is hereby incorporated herein by this reference in its entirety.
FIELD
The disclosure relates generally to card recognition in card handling devices. More specifically, disclosed embodiments relate to automatic generation of calibration files and other improvements to card recognition systems of card handling devices.
BACKGROUND
Card handling devices (e.g., card shufflers) are used in the gaming industry for increasing the efficiency, security, and game speed in live table games, such as blackjack, baccarat, and various forms of poker. Card handling devices may perform a variety of functions including randomly shuffling one or more decks of cards in an efficient and thorough manner. In a live table game, shuffling the cards in an efficient and thorough manner may assist in preventing players from having an advantage by knowing the position of specific cards or groups of cards in the final arrangement of cards delivered in the play of the game. Additionally, it may be desirable to shuffle the cards in a very short period of time in order to reduce delay in the play of the game.
Card shufflers may include a card recognition system, which may be used to verify the contents of the card set, such as one or more decks and ensure that the card set contains all the appropriate cards, and also to detect any cards that do not belong therein. The card recognition system may also enable a card shuffler to verify the contents of the deck throughout the game play. Some known card shufflers may comprise a card recognition system that employs sensors and a hardware component that may sense the rank (2-10, Jack-Ace) and suit (Spade, Club, Heart, Diamond) from the face of a card and thereafter convert signals from the sensed data into data array sets. The data array sets may be compared to known data array sets of a verified deck of cards. Other known card shufflers may comprise a camera that captures an unknown image of each card entered into the card shuffler and then extracts the card rank and suit from the unknown image. The unknown image may be compared to master images of a verified deck of cards to identify the cards.
There are several different playing card manufacturers (e.g., Angel, Gemaco, U.S. Playing Card Company, Cartamundi, Ace, Copag, etc.), each having different types of card designs. For example, the card images (e.g., graphics) printed on the card faces may vary from one deck to the next. In addition, the size and location of the rank and suit may also vary from one deck design to the next.
In order to support each of the various possible card images, the card recognition system of the card shuffler may be loaded with a set of master images containing the rank and suit symbols of a particular deck design. The master images may be stored in memory within the card shuffler in a particular sub-directory for that particular deck design. For example, a sub-directory may exist for each deck type supported by the card shuffler. The process of creating these master images conventionally requires a substantial amount of manual measurement and analysis by a technician to create and load the master images for each deck type. For example, the technician may manually enter parameters into a calibration file listing different measurements and locations related to the rank and suit symbols. This process involves trial and error, and is time consuming as the technician attempts to find the right combination of parameters to use in generating the master images.
Another obstacle associated with conventional card detection devices is that card manufacturers may create new deck designs or make changes to existing deck designs. The conventional method of manually creating deck libraries becomes burdensome to technicians who not only have to create the deck libraries, but also need to update the deck libraries of card shufflers in use in the field. In addition, each individual card shuffler may be configured differently, which may require the technician to create a new calibration file for a particular machine. As a result, when the same deck library is created for one card shuffler and then simply reproduced and stored on each additional card shuffler, there may be variations during card recognition from one card shuffler to the next, even within the same model of shuffler.
Once loaded onto a card shuffler, the dealer may select the specific deck design that will be used during game play. Selecting the deck in the card shuffler determines which deck library (e.g., master images and other related files) is used for comparison with the card images captured during use. The dealer may select the incorrect deck type, often for reasons such as a lack of training or, simply, input error. As a result, the deck library from one deck type may be used for comparison with images from another deck type. Using the wrong deck library may result in errors in card identification.
SUMMARY
In an embodiment, a method of automatically generating a calibration file for a card handling device is disclosed. The method comprises capturing a raw image from at least a portion of a card passing through a card handling device, and using a processor, automatically generating a calibration file stored in memory of a main control system of the card handling device. Automatically generating the calibration file comprises identifying at least one parameter associated with a rank area around a rank of the at least a portion of the card, identifying at least one parameter associated with a suit area around a suit of the at least a portion of the card, and storing the at least one parameter associated with the rank area and the at least one parameter associated with the suit area in the calibration file.
In another embodiment, a method of automatically generating one or more deck libraries for one or more decks of cards is disclosed, The method comprises using a processor to automatically generate a first calibration file without user input in identifying at least one parameter associated with a rank area and at least one parameter associated with a suit area for a first deck type of cards, the calibration file including the parameters associated with the rank area and the suit area, storing the first calibration file in a first deck library for the first deck type, using the processor to automatically generate a plurality of master images for the cards of the first deck type using the parameters from the calibration file, and storing the plurality of master images for the cards of the first deck type in the first deck library.
In another embodiment, a card processing apparatus is disclosed. The card processing apparatus comprises a memory device, an imaging device operably coupled with the memory device such that raw images from the imaging device are stored in the memory device, and a main control system coupled with the imaging device. The main control system is configured to run an operating system having a file directory system configured to store a plurality of deck libraries for a plurality of different deck types. The main control system is configured to receive the raw images from the memory device, automatically generate a calibration file having parameters related to a rank area and a suit area for a deck type.
BRIEF DESCRIPTION OF THE DRAWINGS
FIG. 1 is a perspective view of a card handling device according to an embodiment of the present disclosure.
FIG. 2 is a perspective view of a card handling device according to another embodiment of the present disclosure.
FIG. 3 is a partial perspective view of a card handling device according to another embodiment of the present disclosure.
FIG. 4 is a schematic block diagram of a card processing system for a card handling device according to an embodiment of the present disclosure.
FIG. 5 is an illustration of an image captured by an imaging device of a card handling device, according to an embodiment of the present disclosure.
FIG. 6 is a flowchart illustrating a method for automatically generating a calibration file for a card detection system according to an embodiment of the present disclosure.
FIG. 7 is a flowchart illustrating a method for generating master images according to an embodiment of the present disclosure.
FIGS. 8A through 8C illustrate a process of generating a master rank image and a master suit image from a raw image according to the parameters stored in the calibration file.
FIGS. 8D and 8E show an example of the master images being normalized to form normalized master images.
FIGS. 9A through 9C are a series of card images that illustrate a method for generating master images by finding and filling contours according to another embodiment of the disclosure.
FIGS. 10 and 11 show histograms that may result from an OCR analysis of the master suit images and the master rank images generated by the contour analysis illustrated in FIGS. 9A through 9C.
FIG. 12 is a flowchart illustrating a method for determining the identity of unknown images according to an embodiment of the present disclosure.
FIGS. 13A, 13B, and 13C show a processed image of a card, in which the imaging device had experienced dust build-up on the lens.
FIGS. 14A and 14B illustrate a problem of incorrectly splitting an image that may arise during card recognition mode.
FIGS. 15A, 15B illustrate an issue that may arise when capturing an image using uneven illumination.
FIGS. 16A, 16B, 16C are raw images from the imaging device of a card handling device showing fish eye distortion caused by the imaging device.
FIGS. 17A, 17B, 17C are images for which the fisheye distortion has been reduced through mathematical stretching of the distorted image.
DETAILED DESCRIPTION
In the following description, reference is made to the accompanying drawings in which is shown, by way of illustration, specific embodiments of the present disclosure. Other embodiments may be utilized and changes may be made without departing from the scope of the disclosure. The following detailed description is not to be taken in a limiting sense, and the scope of the claimed invention is defined only by the appended claims and their legal equivalents. Furthermore, specific implementations shown and described are only examples and should not be construed as the only way to implement or partition the present disclosure into functional elements unless specified otherwise herein. It will be readily apparent to one of ordinary skill in the art that the various embodiments of the present disclosure may be practiced by numerous other partitioning solutions.
In the following description, elements, circuits, and functions may be shown in block diagram form in order not to obscure the present disclosure in unnecessary detail. Additionally, block definitions and partitioning of logic between various blocks is exemplary of a specific implementation. It will be readily apparent to one of ordinary skill in the art that the present disclosure may be practiced by numerous other partitioning solutions. Those of ordinary skill in the art would understand that information and signals may be represented using any of a variety of different technologies and techniques. For example, data, instructions, commands, information, signals, bits, symbols, and chips that may be referenced throughout the above description may be represented by voltages, currents, electromagnetic waves, magnetic fields or particles, optical fields or particles, or any combination thereof. Some drawings may illustrate signals as a single signal for clarity of presentation and description. It will be understood by a person of ordinary skill in the art that the signal may represent a bus of signals, wherein the bus may have a variety of bit widths and the present disclosure may be implemented on any number of data signals including a single data signal.
The various illustrative logical blocks, modules, and circuits described in connection with the embodiments disclosed herein may be implemented or performed with a general-purpose processor, a special-purpose processor, a Digital Signal Processor (DSP), an Application-Specific Integrated Circuit (ASIC), a Field-Programmable Gate Array (FPGA) or other programmable logic device, a controller, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein. A general-purpose processor may be a microprocessor, but in the alternative, the processor may be any conventional processor, controller, microcontroller, or state machine. A general-purpose processor may be considered a special-purpose processor while the general-purpose processor executes instructions (e.g., software code) stored on a computer-readable medium. A processor may also be implemented as a combination of computing devices, such as a combination of a DSP and a microprocessor, a plurality of microprocessors, one or more microprocessors in conjunction with a DSP core, or any other such configuration.
Also, it is noted that the embodiments may be described in terms of a process that may be depicted as a flowchart, a flow diagram, a structure diagram, or a block diagram. Although a process may describe operational acts as a sequential process, many of these acts can be performed in another sequence, in parallel, or substantially concurrently. In addition, the order of the acts may be re-arranged. A process may correspond to a method, a function, a procedure, a subroutine, a subprogram, etc. Furthermore, the methods disclosed herein may be implemented in hardware, software, or both. If implemented in software, the functions may be stored or transmitted as one or more instructions or code on computer-readable media. Computer-readable media includes both computer storage media and communication media, including any medium that facilitates transfer of a computer program from one place to another.
It should be understood that any reference to an element herein using a designation such as “first,” “second,” and so forth does not limit the quantity or order of those elements, unless such limitation is explicitly stated. Rather, these designations may be used herein as a convenient method of distinguishing between two or more elements or instances of an element. Thus, a reference to first and second elements does not mean that only two elements may be employed or that the first element must precede the second element in some manner. In addition, unless stated otherwise, a set of elements may comprise one or more elements.
As used herein, the term “master image” is an image generated by a card recognition system during calibration mode that may be stored for future comparison with unknown images to identify a card during card recognition mode. The master images may include separate master images for each rank and suit of a deck. There may also be master images for other symbols, such as a joker, Wagner symbols, deck set symbols, casino symbols and other known symbols. In some embodiments, a master image may include both the rank and the suit of an individual card, such that each individual card has its own master image. A “raw image” is an image generated by a card recognition system during calibration mode and may be used to generate the master image. An example of a “raw image” is an image generated by a two-dimensional (2D) CMOS image sensor. As discussed below, the master images may be generated according to parameters stored in an automatically generated calibration file. In the context of card recognition, a “raw image” may be generated and used to generate an unknown image. The term “unknown image” is an image that is generated by the card recognition system for comparison with a master image to identify a card rank and suit during card recognition mode.
Embodiments of the present disclosure include card handling devices, card recognition systems, and related methods. It is contemplated that there are various configurations of card handling devices that may include a card recognition system according to an embodiment of the present disclosure. FIGS. 1 through 3, described below, are non-limiting examples of such card handling devices that may employ card recognition systems and methods of the present disclosure. Of course, other configurations of card handling devices are also contemplated.
FIG. 1 is a perspective view of a card handling device 100 according to an embodiment of the present disclosure. The card handling device 100 may be configured to randomize sets of cards, such as decks and sets of multiple decks of cards. The card handling device 100 may include a top surface 112 that comprises a flip-up cover 114 that, when opened, may expose a card insertion area 116 and an elevator platform 118. The card insertion area 116 may be configured to receive an input set of cards to be shuffled, counted, and/or sorted. The card handling device 100 may be configured to receive, read rank and suit, sort, and/or shuffle one or more decks of cards (e.g., standard deck of 52 cards each, 52 cards plus one or two jokers, etc.). The card handling device 100 may be particularly well suited for providing randomized decks of cards for card games, such as blackjack, poker, etc. In some embodiments, the card handling device 100 may be located adjacent to, or flush mounted into, a gaming table surface in a casino where a live card game may be played. In some embodiments, the card handling device 100 may be located at a remote location off the casino floor, which may be inaccessible to the public.
The elevator platform 118 may be configured to raise a set of shuffled cards to a level where the cards may be removed by an operator after the shuffling, reading, and/or sorting processes are completed. Within a protective exterior 124 of the card handling device 100 is a card processing system 400 (FIG. 4) therein. The card processing system 400 may be configured to recognize the identity of the cards as the cards pass through the card handling device 100. The elevator platform 118 may include a card present sensor 120 configured to detect the presence of a card located on the elevator platform 118. Other card present sensors 420 (FIG. 4) in the card processing system 400 may trigger the card recognition system to capture the image of the card or data from the card image.
The card handling device 100 may also be configured to display operational data relating to the device to a display panel 122 located on the top surface 112. An operator using the card handling device 100 may monitor the display panel 122 and view the displayed information in order to know the status of operation of the card handling device 100. Such information displayed on display panel 122 may include the number of cards present in the card handling device 100, the status of any shuffling, reading, or sorting operations, security information relating to the card handling device 100, status relating to a card verification process, or any other information about errors, or the operation of card handling device 100 that would be useful to the operator. In one embodiment, the display panel 122 is an LED display. In another embodiment, the display is an LCD display or other electronic display capable of at least displaying alpha-numeric information. The display panel 122 may include a user interface for the user to interact with the card handling device 100. For example, buttons 113, 115 may control operations, such as power on/off, special functions (e.g., raise elevator to the card delivery position, reshuffle command, security check, card count command, etc.), and the like. In other embodiments, touchscreen controls are provided on a surface of the display panel 122.
Additional details regarding such a card handling device are described in U.S. Pat. No. 7,764,836, issued Jul. 27, 2010, and entitled “Card Shuffler with Card Rank and Value Reading Capability Using CMOS Sensor,” and U.S. Patent Application Publication No. 2008/0113700, filed Nov. 10, 2006, now U.S. Pat. No. 8,616,552, issued Dec. 31, 2013, and entitled “Methods and Apparatuses for an Automatic Card Handling Device and Communication Networks Including Same,” the disclosure of each of which is incorporated herein in its entirety by this reference.
FIG. 2 is a perspective view of another card handling device 200 according to another embodiment of the present disclosure. The card handling device 200 may include a recessed card infeed tray 222, adjacent recessed card output tray 224, and a plurality of card shuffling compartments (not shown) arranged into a carousel structure 223 that are configured to shuffle a deck of cards inserted into the card infeed tray 222 and outputted in smaller groups, such as hands and/or partial hands to the card output tray 224 during use. The shuffling compartments of the carousel structure 223 may be enclosed within a cover 228. A card present sensor (not shown) in the card output tray 224 may generate a signal that causes the processor to instruct mechanical elements to dispense another group of cards after the last group of cards is removed. The card handling device 200 includes a flange member 202 that may further include a dealer display 242 that may include touch screen controls for the dealer to input commands for the card handling device 200. The card handling device 200 may be flush-mounted on a gaming table. Additional details regarding such a card handling device are described in U.S. Pat. No. 8,342,525, issued Jan. 1, 2013, and entitled “Card Shuffler with Adjacent Card Infeed and Card Output Compartments,” the disclosure of which is incorporated herein in its entirety by this reference. The card handling device 200 may further include a card recognition system (FIG. 4) that may be housed within the cover 228, and which will be described in further detail below.
FIG. 3 is a partial perspective view of a card handling device 300 according to yet another embodiment of the present disclosure. The card handling device 300 includes a card receiving area 306 that may be provided with a stationary lower support surface 307 that slopes downwardly from an outer side 309 of the card handling device 300. The outer side 309 may include a depression 311 configured to facilitate an operator's ability to place or remove cards into the card receiving area 306. A top surface 304 of the card handling device 300 may include a user interface 302 that may include a visual display 312 (e.g., LED, liquid crystal, micro monitor, semiconductor display, etc.), and one or more user inputs 324, 326. The user inputs 324, 326 may include one or more buttons, touch screens, etc. The user interface 302 may further include additional lights and/or displays 328, 330, which may be configured to indicate power availability (on/off), a shuffler state (e.g., active shuffling, completed shuffling cycle, insufficient numbers of cards, missing cards, sufficient numbers of cards, complete deck(s), damaged or marked cards, entry functions for the dealer to identify the number of players, the number of cards per hand, access to fixed programming for various games, the number of decks being shuffled, card calibration information, etc.), or other information useful to the operator.
The card handling device 300 may further include a shuffled card return area 332. The shuffled card return area 332 may include an elevator surface 314 and card supporting sides 334 that surround at least a portion of the elevator surface 314. In some embodiments, the card supporting sides 334 remain fixed to the elevator surface 314 during operation. In other embodiments, the card supporting sides 334 may be fixed to the frame and do not move. In some embodiments, the card supporting sides 334 may be removable. Removal of the card supporting sides 334 may enable the operator to lift shuffled groups of cards onto a gaming table surface for use in a card game. Additional details regarding such a card handling device are described in U.S. Pat. No. 7,764,836, issued Jul. 27, 2010, and entitled “Card Shuffler with Card Rank and Value Reading Capability Using CMOS Sensor,” the disclosure of which is incorporated herein in its entirety by this reference. The card handling device 300 may further include a card recognition system (not shown), which will be described in further detail below.
Depending on the configuration of the card handling device employed, the physical configuration of the card recognition system may also vary from one card handling device to the next. For example, the placement of the imaging device may be different (e.g., different angles) from one card handling device to the next, which may result in the need to generate and maintain different deck libraries for the various types of card handling devices. According to conventional methods for generating deck libraries and master images where each step is performed manually, the need to maintain deck libraries for various types of card handling devices is increased with the different shuffler structures, which may further add to the benefits and advantages of embodiments of the present disclosure.
Embodiments of the present disclosure include apparatuses and related methods for automatically generating a calibration file for a card handling device. Thus, rather than using substantial human interaction and trial and error to arrive at certain parameters used in the identification of an unknown card, embodiments of the present disclosure use a processor programmed to identify the location and dimensions on a card for a rank, suit, region of interest, and/or other measurements regardless of the deck type and without user interaction, and to generate a calibration file that is later used during a card recognition mode of the processor.
FIG. 4 is a schematic block diagram of a card processing system 400 for a card handling device according to an embodiment of the present disclosure. Examples of card handling devices 100, 200, 300 that may include the card processing system 400 include those described above with respect to FIGS. 1 through 3. Of course, it is contemplated that the card processing system 400 may be adapted for use within any card handling device that is configured to shuffle, sort, deal, process or otherwise handle a deck of cards.
The card processing system 400 may be configured to be automatically tuned to obtain card rank and suit information from one or more decks of cards of different designs and manufacturers, after which the card processing system 400 may be used to determine the identity (i.e., rank and suit) of an unknown card passing through the card handling device. The ability to determine the identity of an unknown card may be desirable for fraud detection, verifying that the proper cards are in a deck, or for other reasons. In some embodiments, the card processing system 400 may also be configured to control the shuffling of the cards, as well as the motors, rollers, etc., that move the cards through the card handling device. In some embodiments, a separate shuffler processor (not shown) may be configured to control the mechanical operation of the card handling device.
The card processing system 400 may include a main control system 412, a card recognition processor 414, an imaging device 416, a memory device 418, a latch 419, and a card present sensor 420. Each of the main control system 412, card recognition processor 414, imaging device 416, the memory device 418, and the card present sensor 420 may be coupled with each other for communication therebetween. The latch 419 may be coupled between the card recognition processor 414 and the memory device 418.
The card recognition processor 414 may be coupled with the imaging device 416 to receive captured images. Capturing an image of all or a portion of the card is also referred to herein as “reading the card.” Cards may be read when stationary or in motion within the card handling device. The imaging device 416 may be positioned and oriented within the card handling device, such that at least a portion of the card may be placed within a field of view of the imaging device 416 when capturing an image of the card. As shown in FIG. 5, a portion of card 506 for a resulting raw image 417 that is within the field of view 502 of the imaging device 416 may be the upper-left hand corner of the card 506. (When the card is face-up, long side along the x axis). Additional detail regarding analysis of the raw image 417, and the related information derived therefrom, will be discussed with more detail below with respect to FIG. 5.
Referring again specifically to FIG. 4, the main control system 412 may include a processor 430 and memory 432. The processor 430 may be configured to perform operations, such as executing instructions (e.g., software code) that perform methods described herein. The instructions may include a program that will run on the main control system 412 at the time the card handing device is tuned (i.e., calibrated) for a specific deck of cards of a specific design. The memory 432 may be configured to store information therein. For example, the memory 432 may store the executables and other files that enable the processor 430 to run the operating system on the main control system 412. The memory 432 may include volatile and/or non-volatile memory. The main control system 412 may run an operating system (e.g., Linux, WINDOWS®, etc.). The main control system 412 may be configured to instruct the imaging device 416 to capture the image (e.g., responsive to a trigger signal from the card present sensor 420) or to extract data from a symbol printed in the field of view 502. The main control system 412 may also be configured to communicate information to input and output devices (not shown), such as a display, operator inputs, etc.
The operating system may enable a data organization structure that includes a file system 431 for storing files (e.g., image files, calibration files, etc.) within the memory 432 that may be used to determine the identity of unknown cards during card recognition mode. The main control system 412 may be configured to organize the file system 431 into sub-directories 434, 436. Each sub-directory 434, 436 may be for a deck type or design to which the card processing system 400 has been tuned. Thus, a sub-directory may also be referred to as a “deck library.” A first deck library 434 may include files stored therein that are for a first particular deck type. For example, files stored within the first deck library 434 may include a calibration file 433, a deck name file 435, and a plurality of master images 413, 415. The calibration file 433 may include parameters that identify certain measurements (e.g., rank and suit areas, region of interest, etc.) that may be used by the main control system 412 and/or the card recognition processor 414 to generate the master images 413, 415 and/or process other images to be compared with the master images 413, 415.
The processor 430 of the main control system 412 may be configured (e.g., programmed) to control the card processing system 400 for operation in one of a plurality of modes. For example, the card processing system 400 may be capable of operating in a calibration mode (e.g., automatically generating a calibration file, master images, and other files of a deck library) and a card recognition mode (e.g., determining the identity of an unknown card passing through the card handling device).
During the calibration mode, the card processing system 400 may be “tuned” to recognize a particular deck of cards or deck type. Therefore, the calibration mode may also be referred to herein as the “tuning mode.” During calibration mode, the main control system 412 may be configured to automatically generate the calibration file 433 and the master images 413, 415 that may be employed by the card processing system 400 when subsequently operated in the card recognition mode. The master images 413, 415 include master rank images 413 and master suit images 415 for the specific card deck type or deck design to which the card processing system 400 is being tuned. Thus, for example, the master rank images 413 may include thirteen images, one for each rank (2, 3, . . . 10, Jack (J), Queen (Q), King (K), and Ace (A)), and the master suit images 415 may include four images, one for each suit (Diamonds (D), Hearts (H), Spades (S), and Clubs (C)). The result from calibration mode includes the calibration file 433, the master images 413, 415, and the deck name file 435 being stored in a deck library 434 for the specific deck type.
The master images 413, 415 may be generated by the card processing system 400 by reading a pre-sorted deck into the card processing system 400. As used herein, “pre-sorted” means that cards of the deck to be tuned are placed and read into the card processing system 400 in an order that is known or expected by the main control system 412 during calibration mode. The term “pre-sorted” is not intended to require any particular order of cards, but rather an order that is expected by the main control system 412. In other words, the card processing system 400 knows the rank and suit of each respective card as it is read into the card processing system 400 and used to generate the master images 413, 415. In some embodiments, the master images 413, 415 may be generated by the card processing system 400 by reading an unsorted (e.g., randomly ordered) deck of cards into the card processing system 400. “Unsorted,” therefore, means that the cards of a deck to be tuned are placed in an order that is unknown or unexpected by the main control system 412. From the perspective of the main control system 412, an unsorted deck is a randomly ordered deck. Additional details regarding the generation of master images 413, 415 of a pre-sorted and an unsorted deck are described below with reference to FIGS. 7 and 8A-8C.
As discussed above, the file system 431 may include additional deck libraries 436 that are unique to additional deck types to which the card processing system 400 has been tuned. For example, a deck library may be stored for each style or brand of cards used by a casino. As a result, each time the card processing system 400 is tuned for a new deck type, the card processing system 400 may automatically generate a new deck library having a calibration file 433, a deck name file 435, and plurality of master images 413, 415 for the new deck type stored therein. Any number of deck libraries may be generated and included within the file system 431, according to the number of desired deck types to which the card processing system 400 is tuned. Because card styles sometimes change over time, it may be desirable to generate a new deck library 434 each time a casino receives a new shipment of cards.
The card processing system 400 may also operate in a card recognition mode. During the card recognition mode, an unknown image 411 may be compared with one or more master images 413, 415 to determine the identity (e.g., the rank and suit) of the unknown card passing through the card handling device. The card recognition mode may occur during real-time play of a wagering game, with the processing being primarily performed by the card recognition processor 414 rather than the main control system 412. Additional details regarding the recognition of an unknown card passing through the card handling device during the card recognition mode are described below with reference to FIG. 12.
The card recognition processor 414 may configured as an FPGA or comparable hardware component having control logic configured to process one or more images according to embodiments described herein. During the calibration mode, the card recognition processor 414 may be configured to process a raw image data captured by the imaging device 416 data and transmit the processed raw image data to the memory device 418 as raw images 417. During the calibration mode, and after the calibration file 433 is automatically generated, the card recognition processor 414 may also configured to generate the master images 413, 415 according to the parameters stored in the calibration file 433. During card recognition mode, the card recognition processor 414 may be configured to determine the identity of an unknown card. For example, the card recognition processor 414 may be configured to generate the unknown images 411 from the raw captured image data so that the unknown images 411 may be compared with one or more of the master images 413, 415 to determine the identity of the unknown card. In other words, during the card recognition mode, the card recognition processor 414 may be configured to compare the generated unknown rank and suit images (i.e., the unknown image 411) with master rank images 413 and master suit images 415 to determine the identity of the card. The card recognition processor 414 may also include memory that may store master images 413, 415 (as is shown in FIG. 4), which may be used to compare with the unknown image 411 during the card recognition mode. Memory of the card recognition processor 414 may also store raw images 417 in some embodiments.
The imaging device 416 may include a camera (e.g., 2D CMOS imager) configured to acquire a two-dimensional image of its field of view. The imaging device 416 may include an analog camera or a digital camera with a decoder or receiver that converts received radiation into signals that can be analyzed with respect to image content. The signals may reflect either color or black-and-white information, or merely measure shifts in color density and pattern. The imaging device 416 may include one or more lenses to focus light, mirrors to direct light, and radiation emitters to assure sufficient radiation intensity for imaging by the imaging device 416. For example, the radiation emitters may include LED light sources (not shown) to illuminate areas of the card being imaged. Although a white light source may sometimes be adequate to capture grayscale data from red and black print on cards, a green light source may be an efficient source of illumination for capturing black and white data from both red and black print on cards.
The card present sensor 420 may be configured to generate a signal when a card is present for the imaging device 416 to read. In some embodiments, the card present sensor 420 may be coupled to the imaging device 416 directly for sending a trigger signal to the imaging device 416 indicating that the card is present. In response to the trigger signal, the imaging device 416 may capture the image of the card. In some embodiments, the card present sensor 420 may be coupled to the imaging device 416 indirectly such that the trigger signal is sent to the imaging device 416 through other components, such as the main control system 412 or the card recognition processor 414. Although the card present sensor 420 is shown in FIG. 4 as being directly coupled with each of the main control system 412, the card recognition processor 414 and the imaging device 416, this is done to show various optional configurations for the card present sensor 420.
The memory device 418 may be configured to store the captured raw images 417 for each of the cards of the deck. The raw images 417 may be read in by the imaging device 416 to be used by the main control system 412 during calibration mode, which may be used to generate the calibration file 433. The raw images 417 may further be provided to the main control system 412 during calibration mode to generate a set of master images 413, 415, which master images 413, 415 may ultimately be stored in the corresponding deck library 434, 436 for that respective deck type. The memory device 418 may have N locations available for storing the raw images for each card, wherein N is any positive integer. For most standard decks, N may be equal to 52 or, maybe, each rank of each suit 13 rank images and 4 suit images. In some embodiments, N locations may include additional locations for jokers, special cards, blank cards, or other symbols. Decks of cards having more or fewer than 52 cards (e.g., cards with certain cards added or removed) are also contemplated. In addition, the calibration file 433 and master images 413, 415 may be generated using a sub-set of all cards of the deck. In other words, a raw image 417 may not be captured for each and every card in the deck so long as at least one raw image 417 is available for each rank and each suit in the deck. As a result, N may be fewer than the total number of cards in the deck. Although the memory device 418 is shown in FIG. 4 as a discrete memory device, it is contemplated that the memory device 418 may be integrated with the card recognition processor 414 or the memory 432 of the main control system 412, such that the raw images 417 may be stored in the card recognition processor 414 or the main control system 412.
In some embodiments, the memory 432 may also include one or more combined deck sub-directories 440. Each combined deck sub-subdirectory 440 may include normalized images for a corresponding rank and suit from a plurality of different deck types. For example, a first combined deck sub-directory 440 may have normalized images D1, D2, . . . DN previously taken from a plurality different deck types for the “2 rank,” a second combined deck sub-directory 440 may have normalized “3 rank” images D1, D2, . . . DN previously taken from a plurality of different deck types for the “3 rank,” and so on. Thus, there may be thirteen different combined deck rank sub-directories, each having a relatively large number of normalized rank images D1, D2, . . . DN from different deck types. Likewise, four different combined deck suit sub-directories 440 may be created that have a relatively large number of normalized suit images D1, D2, . . . DN from different deck types stored therein.
Each of the normalized images D1, D2, . . . DN may be a common size. In addition, the normalized images may be stretched so that a pixel from each of the rank and suit is located on an edge of the normalized image. The normalized images may be used in comparison with the master rank and suit images 413, 415 for linking to the master images 413, 415 to the appropriate ranks and suits for the particular deck being tuned. Thus, the master rank and suit images 413, 415 (or copies thereof) may also be normalized while tuning the deck by having a common size with the normalized images and stretching the master rank and suit images 413, 415 so that a pixel from each of the rank and suit is located on an edge of the normalized image.
The latch 419 may be configured to select a location in the memory device 418 in which a particular raw image 417 should be stored. For example, as the raw image 417 for a card is successfully stored, the latch 419 may include a flip flop and/or a counter that increments as each raw image 417 is stored so that the raw image 417 for the next card may be stored in the next location in memory device 418. If the raw image for a card is not successfully stored, the latch 419 may not increment.
Raw Image Analysis and Parameters of the Calibration File
FIG. 5 is an illustration of a raw image 417 acquired by the imaging device 416 (FIG. 4) of a card handling device, according to an embodiment of the present disclosure. The discussion related to the parameters in FIG. 5 also refers to the hardware environment for acquiring the raw image 417 that described with respect to FIG. 4. The lines and measurements shown in FIG. 5 illustrate certain parameters that may be determined and included within the calibration file 433 for future use. Future use of the calibration file 433 may include when generating the master images 413, 415 during the calibration mode, as well as when generating the unknown image 411 used to compare with the master images 413, 415 during the card recognition mode.
The raw image 417 may be acquired from the imaging device 416. Thus, the raw image 417 of FIG. 5 may be one of the raw images 417 that may be stored in the memory device 418 as the cards are read by the card handling device. The raw image 417 may be a grayscale image having a resolution determined by the imaging device 416 (e.g., 320 pixel×240 pixel resolution). A grayscale pixel may have relatively large number of different values, whereas a black and white pixel may have the value of either a 1 (black) or a 0 (white). When processing the raw image 417, the raw image 417 may be converted from a grayscale image to a black and white image. For example, the card recognition processor 414 (FIG. 4) may employ a method to assign grayscale pixels below a certain threshold value to a 0 (white) and grayscale pixels above a certain value to a 1 (black). Of course, different resolutions and color schemes may be employed, as desired. For example, a full color image may be captured by the imaging device 416; however, it should be appreciated that lower resolution and black and white conversion may result in smaller file sizes and reduced processing time. It is contemplated, however, that the color (e.g., red or black) of the rank or suit may be one more distinguishing factor to assist in card recognition even though the color is treated as irrelevant in many of the examples described herein. Adding color analysis may increase the accuracy of identifying ranks and suits; however, it may come at the expense of additional complexity and/or processing time.
The field of view 502 of the imaging device 416 defines what data is able to be captured by the imaging device 416 for the raw image 417. For example, the imaging device 416 may be located within the card handling device to capture at least a portion of a card 506 passing through the card handling device. As discussed above, a portion of the card 506 may be positioned within the field of view 502 such that the raw image 417 may include the rank and the suit of the card 506. In the example shown in FIG. 5, the rank is a Queen (Q) and the suit is a spade located in the upper left-hand corner of the card 506. Of course, the rank and suit may be located in other positions on the face of the card 506.
A rank area 508 and a suit area 510 may define an area around the rank and suit, respectively. The rank area 508 and the suit area 510 may completely encompass the rank and the suit of the card 506. Having a good fit for the rank and suit may reduce the amount of white space in the rank area 508 and the suit area 510, which may provide a better separation and a more accurate match when comparing master images and unknown images. The rank area 508 and/or the suit area 510 may be a box, a rectangle, or other shape. The rank area 508 has a rank width 516 and a rank depth 518, which may be measured in pixels. The suit area 510 has a suit width 520 and a suit depth 522, which may be measured in pixels. The rank area 508 and the suit area 510 may be separated at a split region 509. The split region 509 is a region (e.g., point, line, etc.) that is between the rank and the suit of the card 506, which may be used to be a starting point for measuring the rank area 508 and the suit area 510. In some embodiments, the split region 509 may be ignored by finding the rank and suit symbols, such as by blob analysis (described below), and then applying the parameters from the calibration file 433 if the calibration file 433 exists.
Within the field of view 502, the main control system 412 may also define a region of interest 504 to be stored in the calibration file 433 so that subsequent analysis may focus on a smaller portion (the region of interest 504) of an image rather than a full image (the field of view 502). The region of interest 504 is a portion of the field of view 502 that includes the rank area 508 and the suit area 510 of the card 506. Focusing the analysis of the card to the region of interest 504 may reduce the processing needed for generating master images 413, 415.
As discussed above, various parameters may be stored in the calibration file 433 in order to assist the generation of the master images 413, 415 during calibration mode and the generation of the unknown images 411 during card recognition mode. These parameters may be determined by the main control system 412 and stored in the calibration file 433. The calibration file 433 may include the parameters for the specific deck type. Such parameters may include V_lines 512, H_lines 514, rank width 516, rank depth 518, suit width 520, suit depth 522, H_start 524, V_start 526, and V_offset 528. These parameters may include various locations and measurements within the raw image 417.
V_start 526 is the shift in the X-axis for the finding the region of interest 504. V_start 526 may be based on the changes in the camera mount position relative to the calibration target. V_start 526 may be set internally by the card recognition processor 414 or the main control system 412. V_start 526 may be approximately the same for all shufflers of the same model, but may account for small changes in camera mount position between devices.
V_offset 528 is the pixel offset that is added along the X-axis to V_start 526 to find the edge of the region of interest 504. The region of interest 504 may be defined just beyond the edge of the card 506 (e.g., by a few pixels) into the dark background. The V_offset 528, which is a relative offset used to shift the card image further leftward into the region of interest 504. The V_offset 528 may be determined by checking across all card images that the region of interest 504 edge is just a few pixels away from the card next to each rank/suit image, as the main control system 412 uses a black-to-white transition algorithm to find the edge of the card. In order to compensate for some rotation-caused shifting of the cards, the V_offset 528 may be reduced by a number (e.g., 4 pixels) from the minimal value found across all cards.
H_start 524 is a relative offset along the Y-axis that is used to shift the card image to define the upper portion of the region of interest 504. The higher the value of H_start 524, the greater the shift. H_start 524 corresponds to a shift of the region of interest 504 downward from the top of the card 506. H_start 524 may be determined by finding the distance to the black-to-white transition at the top edge of the card 506 and reducing by a number (e.g., 4 pixels) to compensate for some shifting in the cards.
V_lines 512 is the number of pixels in the region of interest 504 along the X-axis. In other words, the V_lines 512 is the width of the region of interest 504. V_lines 512 may be determined by taking the maximum of the center-most edge coordinate for the rank and suit across all cards, and then subtracting V_start 526 and V_offset 528.
H_lines 514 is the number of pixels in the region of interest 504 along the Y-axis. In other words, the H_lines is the depth of the region of interest 504. H_lines 514 may be calculated by determining the maximum coordinate across all card images for the edge closest to the bottom of the suit.
The point having the coordinates (V_start+V_offset, H_start) may be used to define the upper left-hand corner of the region of interest 504. The size of the region of interest 504 may be defined by the V_lines 512 and H_lines 514. As a result, a smaller window (i.e., the region of interest 504) may be output in order to look at a selected region within the field of view 502 during operation.
Additional parameters may be stored in the calibration file 433 that relate to the operation of the imaging device. Such additional parameters may include exposure, camera gain, brightness, camera speed, camera resolution, etc., which may be read from registers of the imaging device 416.
Additional parameters may be stored in the calibration file 433 that relate to the deck or the operation of the card recognition mode. Such additional parameters may include preload sets, split_algorithm_select, err_min_rank, err_min_suit, a deck number, and a library number.
Split_algorithm_select may be used to indicate the direction that the card recognition processor 414 begins its scan for finding the split region 509 in the unknown image. For example, if there is a non-rank blob (e.g., Wagner symbol or artwork) between the rank and the top edge of the card 506, the split_algorithm_select may be set to 1 to instruct the card recognition processor 414 to scan the region of interest 504 from bottom to top when finding the split region 509. The split_algorithm_select may be set to 0 to instruct the card recognition processor 414 to scan the region of interest 504 from top to bottom when finding the split region 509.
Err_min_rank is a parameter used to identify unknown rank images. The number of black pixels in the unknown image is compared to the number of black pixels in reference images and the reference image with the highest number of pixel matches is determined to be the match. For example, if the score is less than the err_min_rank, the master rank image is reported as being a non-match to the unknown rank image. Err_min_suit is a parameter used to identify unknown suit images. For example, if the score is less than the err_min_suit, the suit image is reported as being a non-match. During a summing determination, a perfect match would have a 100% match rate between the unknown image and a master image. Because of some variations, this may not be the case. The err_min_rank and err_min_suit are may be set to have values equating to a desired error threshold (e.g., 75%) of the potential total matches in the summing determination. For example, if a rank area 508 or a suit area 510 has 32 pixels, the err_min_rank and the err_min_suit may be set to 24 (e.g., 24/32=0.75). As a result, if the percentage of pixel matches falls below this percentage (e.g., 75%), the rank and/or suit may be considered a non-match against the master image. If more than one master image provides a score that exceeds the match threshold (75%) when compared to the unknown image, then the master image having the highest score may be considered the matching symbol. If none of the master images provide a score that exceeds the match threshold (75%) when compared to the unknown image, then the unknown image may remain unknown and an error alert may be provided to the dealer. Situations in which the score may be below the match threshold may include an error in the tuning process, an error in the image capture of the unknown image, a card being turned over, a card being from another deck, a damaged or dirty card, the card handling device being dirty, etc.
The deck number may be a unique number for a particular calibration file 433 in order for the dealer to select to be used in the future. The library number may represent the number of times that the calibration file 433 has been updated. The preload sets parameter may represent a number of image shifts that are done during correlation for an image pair (e.g., an unknown image and a master image). In some embodiments, the deck number and library number may be stored in a separate deck name file that is different than the calibration file 433.
Calibration Mode Operation: Automatic Generation of Calibration File
FIG. 6 is a flowchart 600 illustrating a method for automatically generating a calibration file for a card detection system according to an embodiment of the present disclosure. The method of FIG. 6 is described with reference to the card processing system 400 of FIG. 4 and the raw image 417 of FIG. 5. The main control system 412 may operate in the calibration mode to tune the card processing system 400 to a particular deck of cards such that the card recognition processor 414 may subsequently identify unknown cards of that particular deck type while operating in card recognition mode.
At operation 610, the raw image 417 for the cards in the deck may be captured. For example, the deck of cards may be inserted into the card handling device and read into the card processing system 400. At operation 620, the raw image 417 may be stored in the memory device 418 in the order that they are received. At operation 630, it is determined if there is another card to be read and stored. If so, the next card is read, and the next raw image 417 is stored in the memory device 418. In other words, cards may be sequentially passed through the field of view 502 of the imaging device 416, and the raw image 417 of at least an area the rank and suit symbols of each card is captured by the imaging device 416, and moved by the card processing system 400 into the memory device 418 to be used for tuning the card processing system 400. In some embodiments, the cards may be read in a predetermined order (i.e., pre-sorted), while in other embodiments, the cards may be read in any order (i.e., unsorted).
In some embodiments, the upper left-hand corner of the card may be captured by the imaging device 416, whereas in other embodiments the imaging device 416 may capture a larger portion of the card face (e.g., the entire card face). At the close of reading all or a portion of each card in the deck, a raw image 417 may be stored in the memory device 418 for each card of the deck. At this point, the raw images 417 stored in the memory device 418 may not be processed (e.g., cropped or otherwise altered), but represent full images for the entire field of view 502 of the imaging device 416, including each rank and suit symbol.
At operation 640, one or more raw images 417 may be loaded from the memory device 418 to the main control system 412 for image processing and for automatically generating the calibration file 433. In some embodiments all raw images 417 captured for the card deck may be loaded from the memory device 418 to the main control system 412 for subsequent image processing. In other embodiments, each raw image 417 may be loaded to the main control system 412 and subsequently processed one at a time.
At operation 650, the location of the rank and suit symbols may be identified within the raw images 417 along with parameters associated with their areas. For example, the main control system 412 may be configured to perform an image processing analysis of each raw image 417. The image processing analysis may include identification of measurement data (e.g., parameters representative of length, width, areas, coordinates, dimensions, etc.) relating to at least one of a rank area 508 around a rank of the card, and a suit area 510 around a suit of the card.
As an example of a method that may be used by the main control system 412 to identify the areas within the raw images 417 that include the rank and suit symbols of a card, the main control system 412 may perform a “blob” analysis or other similar analysis on one or more of the raw images 417 stored in the memory device 418. A blob is a connected region in a binary digital image. In other words, a blob may include a point and/or a region in the raw image 417 in which the pixel data differs in some property from the pixel data in surrounding areas. For example, the blob analysis may locate black regions of a black-white image or may analyze intensity of a grayscale image.
The blob analysis may result in extracting features from an identified blob, such as the orientation of a blob, the centroid of the blob, the height and width of the blob, and other similar features. An example of such an image processing program capable of being programmed to perform the analysis described herein includes OpenCV (Open Source Computer Vision Library) developed by Intel Corporation of Santa Clara, Calif. OpenCV is an open source library that includes a plurality of additional algorithms and sub-features for algorithms that may be used in image analysis. Descriptions regarding the function and usage of the algorithms that may be performed using OpenCV are described in one or more of the following text books: “OpenCV 2 Computer Vision Application Programming Cookbook, published May 23, 2011, author Robert Laganiere; “Learning OpenCV: Computer Vision in C++ with the Open CV Library,” published Dec. 25, 2012, authors Gary Bradski et al.; and “Mastering OpenCV with Practical Computer Vision Projects,” published Dec. 3, 2012, authors Baggio et al., the disclosure of each of which is hereby incorporated herein by this reference in its entirety. For example, libraries from OpenCV may be employed to perform conversion of images from a grayscale image into a black and white image, finding contours on an image, and filling a contour to isolate a rank and suit within the images. In addition, libraries from OpenCV may be employed to perform a blob analysis, optical character recognition (OCR), or other methods that may be used to link the appropriate rank and suit images with the card images, which may enable tuning a deck of cards out of order (as discussed in further detail below). Other software that may be capable of blob analysis and other image processing features may also be employed, such as MATLAB® developed by Mathworks of Natick, Mass.
The blob analysis may be configured to locate blobs within a selected raw image 417. Although the term “raw image” is used during the description of the blob analysis, the image that is analyzed may be processed. For example, the main control system 412 may convert the raw image 417 to black and white, may crop (or ignore) the raw image 417 to the region of interest 504 around the card 506 that is of a smaller size than the field of view 502 of the imaging device 416, etc., prior to performing the blob analysis to identify the areas of interest that include the rank and suit of the card 506. In this context, the term “raw image” is intended to mean that the image is not a master image 413, 415, and not necessarily that no processing or alteration of the raw image 417 has been performed.
In particular, the blob analysis may be employed to locate rank and suit symbols, and distinguish between ranks, suits, and other markings on the card. As an example, the blob analysis may determine an initial number of blobs within the raw image 417. The initial number of blobs may be relatively large (e.g., 3000 blobs) based on the artwork on the card that is present within the field of view of the imaging device 416. The blob analysis may also return a location (e.g., centroid) of each blob within the raw image, as well as the measurements (e.g., height, width, etc.) of each blob.
The blob analysis may ignore other blobs based on size, shape, or location in order to arrive at the rank and suit symbols. For example, because the rank and suit of most cards may be expected to have at least a minimum size, blobs smaller than the minimum size may be ignored by the main control system 412 for purposes of finding the areas of interest in the raw image 417 that include the rank and suit. In addition, because the rank and suit of most cards may be expected to be located near the corners of the cards, blobs that are outside of that expected region may also be ignored. As a result, the remaining blobs left to be analyzed should include the one or more blobs corresponding to the rank symbol and the one or more blobs corresponding to the suit symbol on the card.
In some embodiments, the main control system 412 may identify the “10” rank symbol first (i.e., excluding other cards, such as Jack, King, etc.). Unique characteristics of the rank symbol may be particularly helpful for the main control system 412 to identify the location and dimensions of the 10 rank and also distinguish the 10 rank from the other ranks. For example, the 10 rank may be recognizable because the 10 rank has two relatively large blobs that are side by side. Each of the two blobs may have approximately the same location on the Y-axis for the centroid, along with approximately the same height. In addition, the blob analysis may recognize that one blob (the “1”) is narrow whereas the other blob (the “0”) is wide. The 10 rank may also be useful as a basis in defining the measurements for the rank area 508 because the 10 rank symbol is usually the largest of the various rank symbols for many deck types.
Identifying a blob as the suit may be determined by locating the relatively large blob near the 10 rank as the suit. In other words, once the blob's location and measurements have been determined for the rank, the location and measurements of the suit may be based on the blob identified as the rank. For example, the suit may also be expected to be the blob located below the rank (in the Y direction), which is the case for most deck types.
In some embodiments, the main control system 412 may determine the location and measurements of the suit symbol prior to the rank symbol. As a result, once the blob's location and measurements have been determined for the suit, the location and measurements of the rank may be based on the blob identified as the suit. For example, the rank may also be expected to be the blob located above the suit (in the Y direction), which is the case for most deck types.
As another example, the rank and/or suit symbol may be identified by comparing portions of the raw image 417 against a generic file describing rank and/or suit curvatures, being immune to scale or rotation, for portions of the raw image 417 that are closest to the corner of the card 506.
At operation 660, the rank area 508 and the suit area 510 may be defined. For example, once the blobs are identified for the rank and suit of the card in the raw images 417, the results from the blob analysis, the locations and measurements (e.g., in pixels) may be further analyzed to define the rank area 508 and the suit area 510 as well as other related parameters that will be part of the calibration file 433. The rank area 508 and the suit area 510 are areas that are defined based on the location and measurements of the respective ranks and suits for the specific deck type. In other words, there may be one rank area 508 that is defined to be large enough that all ranks from all raw images 417 fit within the rank area 508. Similarly, there may be one suit area 510 that is defined to be large enough that all suits from all raw images 417 of the deck type fit within the suit area 510.
In some embodiments, the main control system 412 may define the rank area 508 to be based on the measurements and location of the 10 rank because the 10 rank is often the largest rank symbol for most decks. In some embodiments, the main control system 412 may analyze the measurements for the ranks from all raw images 417. In other words, the largest blob identified as a rank may be used as the basis of the rank area 508. Similarly, in some embodiments, the main control system 412 may analyze the measurements for the suits from all raw images 417. The largest blob identified as a suit may be used as the basis of the suit area 510. In other words, the final parameters for the rank area 508 and the suit area 510 that are stored in the calibration file 433 may be determined by taking the maximum measurements of the rank symbol and suit symbol, and then expanding the values slightly to allow for some white space around the ranks and suits. Expanding the maximum value of the ranks and suits in this manner may allow for slight variations in print size, as well as for rotation of cards that may exist when reading in the cards.
At operation 670, a region of interest 504 may be defined. The region of interest 504 should be large enough to completely contain each rank and suit symbol of each card of the specific deck type with some additional area added to account for variability in the acquired signal and variability in card position. Thus, the region of interest 504 may be defined by measuring a size (e.g., in pixels) and location of each rank area 508 and suit area 510 defined by the system, and identifying an area in which every rank area 508 and suit area 510 appears during the training and calibration phase. Because there may exist some variation in the location of the rank and suit symbols throughout the deck, the rank area 508 and suit area 510 for the entire deck may be analyzed to determine a minimum number of pixels (in both X and Y directions) to consider to ensure that the rank and suit symbols fall within the region of interest 504. In some embodiments, the minimum number of pixels may be used, whereas in other embodiments the region of interest 504 may include excess pixels to allow for variations (e.g., card orientation) during actual use.
In some embodiments, the region of interest 504 may be defined by adding a fixed dimension in the X-direction from the right side of the image, while the dimension in the Y-direction may be determined by defining the furthest location from the top of the card 506 in the Y-direction to the bottom of the suit symbol. Because the rank and suit symbols may vary in location, the furthest location may be determined after analyzing the locations of all suits from the image processing analysis. The final dimensions of the region of interest 504 may include some padding on these measurements in each direction to compensate for slight variations in card orientation during use. Other methods for defining the boundaries for the region of interest 504 are also contemplated such that the region of interest 504 has a suitable size and location to ensure that rank and suit symbols within the deck will be within the defined region of interest 504 even if the locations of the rank and suit symbols may vary somewhat.
At operation 680, the calibration file 433 may be automatically generated and the parameters may be stored therein. The calibration file 433 may include, among other information, this measurement data, which can be subsequently used by the card processing system 400 in the calibration mode to generate master images 413, 415, or during the card recognition mode to identify unknown cards of that particular deck type, as discussed in more detail below.
The parameters stored in the automatically generated calibration file 433 may include measurements for the rank area 508 (rank height and rank width) and the suit area 510 (suit height and suit width), and the measurements and coordinates for the region of interest 504, as well as additional parameters previously discussed with respect to FIG. 5. The calibration file 433 may be stored in memory 432 within the main control system 412. Storing the calibration file 433 in memory 432 of the main control system 412 may include storing the calibration file 433 in a subdirectory for the particular deck or deck type that is used to tune the card processing system 400. The calibration file 433 may further include other parameters that may be used by the card recognition processor 414 in generating master images, cropping unknown images, or for other reasons as discussed above.
Calibration Mode in Operation: Automatic Generation of Master Images
FIG. 7 is a flowchart 700 illustrating a method for generating master images according to an embodiment of the present disclosure. The method of FIG. 7 is described with reference to the card processing system 400 of FIG. 4 and the raw image 417 of FIG. 5. The calibration mode may be employed to tune the card processing system 400 for use with a particular deck of cards. Using the calibration file 433, the card recognition processor 414 (or, alternatively, the processor 430 of the main control system 412) may process the raw images 417 stored in the memory device 418 to generate the master images 413, 415 for that specific deck type to be used in the card recognition mode of the card processing system 400.
For the flowchart 700, it is presumed that a calibration file 433 has already been created, such as by the method of FIG. 6, or other methods described herein. For example, the calibration file 433 may be automatically created using image processing methods to locate rank and suit symbols in the raw images 417 and determine parameters (e.g., rank area 508, suit area 510, region of interest 504, etc.) regarding measurements of the rank and suit symbols. These parameters, along with other parameters discussed above, may be included with the calibration file 433 that may be stored in the deck library 434 of the file system 431 maintained by the main control system 412.
At operation 710, the raw images 417 may be loaded into the main control system 412 and/or the card recognition processor 414. If the raw images 417 are already stored in the memory device 418, the raw images 417 may be retrieved from the memory device 418. Thus, the raw images 417 used to generate the master images 413, 415 may be the same raw images 417 that were used in the analysis for automatically generating the calibration file 433. If the raw images 417 are not stored in the memory device 418, a deck of the same deck type may be read by the card processing system 400 so that new raw images 417 may be generated and loaded.
At operation 720, the raw images 417 may be converted to the master images 413, 415. For example, the card recognition processor 414 may convert the raw images 417 to the master images 413, 415. In particular, the card recognition processor 414 may receive and crop the raw images 417 according to the parameters previously stored in the calibration file 433 to automatically generate a master rank image 413 and the master suit image 415 for the card 506.
For example, FIGS. 8A through 8C illustrate a process of generating the master rank image 413 and the master suit image 415 from the raw image 417 according to the parameters stored in the calibration file 433. As shown in FIG. 8A, the first cropping of the raw image 417 may be to limit a processed image 800 of the card 506 (seven of diamonds shown in FIG. 8A) to have an area that is determined by the region of interest 704 stored in the calibration file 433. The processed image 800 shown in FIG. 8A may have been generated from the raw image 417. For example, the processed image 800 may be a black and white image, whereas the original raw image 417 may have been a grayscale image or a color image.
As shown in FIGS. 8B and 8C, the secondary cropping includes cropping the processed image 800 of FIG. 8A to generate the master images 413, 415. For example, the master rank image 413 may be the result of cropping the processed image 800 according to the parameters of the calibration file 433 that correspond to the rank area 508. The master suit image 415 may be the result of cropping the processed image 800 according to the parameters of the calibration file 433 that correspond to the suit area 510. In other words, the card recognition processor 414 may crop the raw images 417 according to stored region of interest 504, rank area 508, suit area 510 to generate separate master images 413, 415 for the rank and the suit of the card. The other parameters (e.g., offset values) stored in the calibration file 433 may assist in locating the rank and suits so that the application of the rank area 508 and suit area 510 parameters may result in master images 413, 415 that contain the entirety of the rank and suit, along with the desired alignment. Although FIGS. 8B and 8C show the rank and suit to be shifted to the left and upper edges of the rank area 508 and the suit area 510, there may be some padding (i.e., white space) on each edge. In order to maintain a consistent location of the rank and suit in the master images 413, 415, the rank and suit may be shifted toward one of the corners as shown.
In some embodiments, a single master image may be generated for each card that includes both the rank and the suit (essentially the region of interest 504). Doing so, however, may require 52 master images (one for each card) rather than having as few as 17 master images (one for each rank and one for each suit), which may change the processing time during the card recognition mode.
Referring again to FIG. 7, at operation 730, the master images 413, 415 may be stored in the appropriate deck library 434 together with the corresponding calibration file 433, deck name file 435, and other related files. The master images 413, 415 may be stored as image files (e.g., bitmap files) in the deck library 434 of the file system 431 of the main control system 412. The master images 413, 415 may further be loaded into the memory of the card recognition processor 414 for comparison with the unknown images 411 during card recognition mode. The master images 413, 415 may be separate files stored in the same subdirectory of the file system as the calibration file 433 (e.g., a text file). In some embodiments, the calibration file 433 may be combined in a file with the master images 413, 415 such that a single file may include image data and the calibration parameters.
In a standard deck of cards, 18 master images 413, 415 may be stored: one master rank image 413 for each rank (2-10, J, Q, K, A) and one master suit image 415 for each suit (Heart, Diamond, Club, Spade), as well as a master image for a joker. The master image for a joker may be stored as a rank. Other symbols may also be printed on the face of some of the cards. For example, a “Wagner” symbol is a special symbol printed on some of the cards for a deck that is used in certain card games in order to assist in game play. For example, a Wagner symbol is typically useful during blackjack by being printed on the face of each card having a value of ten (i.e., each 10 rank, Jack rank, Queen rank, King rank) and eleven (i.e., each Ace rank) to assist with the determination that the dealer has a “21.” The Wagner symbol is often a polygon shape that is located between the rank and the top of the card. A master image for a Wagner symbol may be created and stored, while in some embodiments the Wagner symbol may simply be ignored by the main control system 412. Other special symbols may also be treated similarly.
At operation 740, the master images 413, 415 may be linked with the correct rank and suit such that the card processing system 400 may know which master image 413, 415 corresponds to the correct rank and suit. When the link between the master images 413, 415 and the correct rank and suit are established, the link may be known by the card processing system 400, such as by creating a list in the calibration file 433, by storing the information in another file in the deck library 434, or by some other suitable method. The files for the master images 413, 415 may be named (or re-named) to have an identifier (e.g., name, number, etc.) that indicates what the rank or suit is for each master image 413, 415.
In some embodiments, the order of each card in the deck may be known when master images 413, 415 are generated because the deck may be pre-sorted when the raw images 417 are captured. As a result, each master image 413, 415 may be linked to the correct rank or suit based on the expected order of the pre-sorted deck as the raw images 417 were saved in the memory device 418. Such an embodiment, however, may rely on the card manufacturer or technician (or dealer, pit boss, etc.) who inserts the deck into the card handling device to insert a pre-sorted deck. Inserting an unsorted deck into such an embodiment may result in improper links being established between the master images 413, 415 and incorrect ranks and suits.
In other embodiments, the deck may not be required to be in any particular order when generating the master images 413, 415. The card processing system 400 may be configured to make the proper links between the master images 413, 415 and the correct ranks and suits even with an unsorted deck. The main control system 412 may perform additional image processing on the master images 413, 415 in order to determine which rank or suit should be linked to each master image 413, 415. Of course, at this point the master images 413, 415 are not linked to any particular rank or suit, and the actual identity of the master image 413, 415 may not yet be known to the main control system 412.
As discussed above, there may be a plurality of combined deck sub-directories 440 (FIG. 4) that include a plurality of normalized images for a corresponding rank and suit from a plurality of different deck types. While tuning the master images 413, 415 for a particular deck, the identity may be determined by comparing normalized versions of the master images 413′, 415′ with the normalized images D1, D2, . . . DN stored in the combined deck sub-directories 440.
FIGS. 8D and 8E show an example of how the master images 413, 415 may be normalized to form normalized master images 413′, 415′. Referring to FIG. 8D, the 7 rank may be normalized by cropping the master rank image 413 so that there is at least one black pixel from the 7 rank along the outer border of the cropped image (represented by box 802). The cropped rank image may be expanded to a common image size (e.g., rank area 508) as indicated by the arrows shown in FIG. 8D. The other master rank images 413 may be normalized in a similar manner. Referring to FIG. 8E, the diamond suit may be normalized by cropping the master suit image 415 so that there is at least one black pixel from the diamond suit along the outer border of the cropped image (represented by box 804). The cropped rank image may be expanded to a common image size (e.g., suit area 510) as indicated by the arrows shown in FIG. 8E. The other master suit images 415 may be normalized in a similar manner. The normalized master rank and suit images 413′, 415′ may appear to be somewhat “bloated” in comparison to the master rank and suit images 413, 415. It should be understood that the normalized images D1, D2, . . . DN of the combined deck sub-directories 440 may be normalized in a similar manner having a common image size as the normalized master rank and suit images 413′, 415′.
To link the master images 413, 415 to the appropriate rank and suit during tuning, the normalized master images 413′, 415′ may be compared with the normalized images D1, D2, . . . DN of the combined deck sub-directories 440. The comparison of the normalized master images 413′, 415′ with the normalized images D1, D2, . . . DN of the combined deck sub-directories 440 may be performed by a pixel to pixel comparison (e.g., X-OR comparison) to arrive at a score that is used to determine whether a match occurs. For example, referring again to FIG. 4, an unknown normalized master rank image 413′ may be compared to the normalized images D1, D2, . . . DN of a first combined deck sub-directory 440 (e.g., all 2 ranks stored therein) to produce a first score. The first score may be a combined score for all 2 ranks of the sub-directory 440 or a plurality of individual scores for each normalized images D1, D2, . . . DN. The unknown normalized master rank image 413′ may then be compared with the normalized images D1, D2, . . . DN for each of the remaining combined deck sub-directories 440 (e.g., as a loop) to produce the scores for each of them. The highest score produced may indicate the identity of the unknown normalized master rank image 413′. An unknown master suit image 415′ may likewise be compared with the appropriate combined deck sub-directories 440 to produce a score that indicates the identity of the master suit image 415′.
The comparisons may include a pixel by pixel comparison (e.g., X-OR) for each of the normalized images. In some embodiments, the comparison may further include a comparison of a pixel as well as its neighboring pixels to count in the score. For example, pixels that are not located on the edges of the image have eight bordering pixels. A valid count may be added to the score if the bordering pixels are also the same as the middle pixel being used in the comparison.
In some embodiments using normalized images, the spades and clubs may appear somewhat similar such that false identifications may occur. In some embodiments, the normalized images D1, D2, . . . DN of the combined deck sub-directories 440 may be altered somewhat to further distinguish the two types of suits. For example, the normalized images D1, D2, . . . DN of the combined deck sub-directories 440 that correspond to the clubs may have a circle (or other shape) drawn within each of the leaves. During tuning, the unknown master suit images 415 that correspond to clubs may be identified in an alternative method, such as counting pixels across a different path (e.g., a 45-degree line from the middle left side of the image to the middle top side of the image) that will identify the different shapes of the club versus the spade.
In some embodiments, the master images 413, 415 may be compared with each other to determine secondary relationships between master images 413, 415 and identify the correct rank and suit for each master image 413, 415. The method of comparison includes determining a score, which may be represented by a number (or percentage) of matched pixels or a number (or percentage) of unmatched pixels. In some embodiments, the method of comparing may include comparing a shape of an edge of a symbol, or other methods of comparison. By comparing master images 413, 415, the correct rank and suit for each master images 413, 415 determined indirectly from other its relationship with other master images 413, 415. For example, the master images 413, 415 may be compared with each other to obtain a score. The score may be an indication of how similar or dissimilar each master image 413, 415 is to each other.
As an example, a first master rank image 413 is compared with a second master rank image 413, the first master rank image 413 is then compared with a third master rank image 413, the first master image rank image 413 is then compared with a fourth master rank image 413, and so on. As a result, a comparison for each permutation of all master rank images 413, and a score may be recorded for each individual permutation among the group of master rank images 413. A similar comparison may be performed to obtain a score for a comparison of each permutation of the master suit images 415.
Of course, the scores for comparisons of different master images 413, 415 would be dissimilar and the resulting score would be relatively dissimilar. However, the score resulting from a comparison of the A rank and the J rank may be more similar to each other than the score resulting from a comparison of the A rank and the 5 rank. In fact, each rank may have a different rank that, when compared, yields a closest secondary match relative to its comparison with the other ranks. For example, for some decks, the following table may represent the next best match for various ranks. The score represented in Table 1 below is a percentage of pixel matching as described in further detail below.
TABLE 1
Rank Next Best Match Rank Score (%)
A J 20
2 4 20
3 5 15
4 J 17
5 6 9
6 5 12
7 4 19
8 6 17
9 J 20
10  Q 18
J 4 17
Q 4 17
K J 19
The “Next Best Match Rank” shown in Table 1 is to be understood as an example for one style of card deck. Similarly, the scores shown in Table 1 may be approximates. Of course, as decks may vary from one design to the next, the next best match and the score may also differ from one deck to the next. In addition, the analysis regarding the secondary comparisons of master images 413, 415 may also consider the expected matches beyond the next best match. In other words, the accuracy may be improved if the third best match, the fourth best match, etc. may be considered.
In some embodiments, a specific master image 413, 415 may be used as a baseline master image to determine the links for the other master images. For example, the blob analysis may be used to identify a 10 rank by searching for the unique characteristics of the 10 rank as discussed above. The master rank image 413 for the 10 rank may then be used to compare with the unknown master rank images 413. In other words, the 10 rank is compared with an unknown master rank image 413 to obtain a first score, the 10 rank is compared with another unknown master rank images 413 to obtain a second score, and so on. Each rank may have a score that is different with respect to a comparison with the 10 rank. These different scores may correspond to a rank based on the expected relative match to the 10 rank. The highest score resulting from using the 10 rank as a baseline master rank image 413 may be linked to the Queen rank (the closest next best match in this example). Once the Queen rank has been identified, its master rank image 413 may be compared to the other master rank images 413, from which the four rank may be identified as the highest score that resulted from the comparisons with the Queen rank. Analyzing these secondary relationships in view of expected secondary relationships may result in the various master images 413, 415 being linked to the correct ranks and suits.
Other ranks may be used as the baseline master rank image 413. In some embodiments, the deck may be required to be only partially sorted, such as requiring the technician to have a specific card as the first card read from the deck. For example, the Queen of Hearts may be required to be the first card read from the deck. The master images 413, 415 for the Queen rank and the Hearts suit may then be used as the baseline master rank image 413 similar to the process described above for using the 10 rank.
In other embodiments, secondary analysis may be used to determine the identity of the suit for the master suit image 415, such as analyzing the curvature of the suit shapes or from comparisons of the other master suit images 415 to determine the identity from secondary relationships of non-matching master images. Such secondary analysis may be beneficial for situations when the deck may not be sorted in any particular order. Such secondary analysis may also be performed for other reasons, such as to verify the order of a sorted deck (e.g., the system may still require a sorted deck, but these secondary relationships may provide a way to alert the operator that the deck was not sorted properly), verify a correct deck (e.g., 52 unique cards exist), and verify quality of the total scan (e.g., identify dirty cards). For example, even in the situation of having a pre-sorted deck, secondary verification may be desired to determine whether the tuning process was correct. One example may include comparing master images 413, 415 with each other to determine secondary relationships. For example, such secondary relationships may identify incorrect relationships because a card that was out of order. Another secondary verification for a pre-sorted deck may be a simple check to see if the 10 ranks are in the correct location rather than verifying each and every card. Another secondary verification may be to display the master image and what the card recognition system determined the identification to be. The operator may be allowed to select whether the identification is correct and to make any changes if incorrect.
Once the master images 413, 415 have been created and properly linked with the correct ranks and suits, the card processing system 400 may be said to be “calibrated” or “tuned” as to the particular deck type.
In some embodiments, only a selected portion of the raw images 417 may be fed back from the memory device 418 into the card recognition processor 414 for generating the master images 413, 415. In some embodiments, only one image for each rank from one of the suits may be used to generate the master rank images 413. For example, the Ace of Diamonds may be used to obtain the master image linked with the Ace rank, while the other Ace ranks (e.g., Ace of Spades, Ace of Hearts, Ace of Clubs) may be ignored. The master rank images 413 for the other ranks may be generated in a similar manner. While generating the master images 413, 415 for the ranks, certain card images may be selected to generate the master suit image 415 for each suit as well.
In other embodiments, each raw image 417 may be used to obtain a master image 413, 415 for each rank and suit. As a result, a plurality of master images 413, 415 may be generated for each rank and suit. For example, four separate master rank images 413 may be created for the Ace rank (i.e., one Ace image from a card for each suit). The main control system 412 may then analyze each of the master rank images 413 for that rank to determine which of the master rank images 413 is desired to be used as the ultimate master rank image 413 during the card recognition mode. In other words, the main control system 412 may choose what it considers “the best” image from among a plurality of images to select the master image 413, 415 for a particular rank or suit. The best image may be determined by comparing against each of the other master images 413, 415 to obtain a score that is most dissimilar to the other master images 413, 415 of a different type so that the separation between master images 413, 415 is the greatest. For example, each of the master rank images 413 from a single rank (e.g., four different Ace images) may be compared to the master rank images 413 of the other ranks (e.g., 2-10, J, Q, K). The Ace image (from among all Ace images) that provides the most dissimilar score when compared with the images from the other ranks may be Ace image selected for the master rank image 413 for the Ace rank. Other factors or determinations may be used for, or contribute to, the determination of which master image 413, 415 is to be used as the master image 413, 415 for a particular rank or suit.
In some environments, the main control system 412 may employ OCR techniques to recognize the identity of the correct rank or suit of the each master image 413, 415 from contours identified in the master images 413, 415 to be linked with the correct rank and the suit of the master image 413, 415.
For example, FIGS. 9A, 9B, and 9C are a series of card images 900A, 900B, and 900C that illustrate a method for generating master images by finding and filling contours according to another embodiment of the disclosure. A contour is a line that identifies an edge of a white area within the card image that is not connected to any other white area within the card image.
As discussed above, the grayscale image from a raw image 417 may be converted to a black and white image. In some embodiments (e.g., as is shown in FIGS. 8A-8C) the card area may be white and the ranks and suits may be black. In some embodiments, these white and black regions may be inverted, as is the case for the images in FIGS. 9A-9C, 10A and 10B. Referring again to FIG. 9A, contours may be identified by an image processing analysis program (e.g., OpenCV), such that the white area from the Jack rank and the diamond suit stands out from the black area for the card background. Other white space is filled, which may occur in stages, as shown in FIGS. 9B and 9C. The resulting image that includes both the rank and the suit depicted in white has the remainder of the image depicted in black, which may provide further contrast and improve subsequent analysis on the master rank images and master suit images that are generated.
FIGS. 10 and 11 show histogram groups 1000, 1100 that may result from an OCR analysis of the master suit images and the master rank images generated by the contour analysis illustrated in FIGS. 9A-9C. OCR may be employed during the tuning mode, particularly for determining the rank and the suit of the unknown master images when the cards are not sorted and are not read in any particular order that is expected by the main control system 412. OCR may employ an artificial neural network machine-learning algorithm for analyzing the contours of the master images 415, 415.
The image in the lower left corner of each of the histogram groups 1000, 1100 is the master image 413, 415 that is unknown and to be determined. An image 1001 in the upper left corner of each of the histogram groups 1000, 1100 is a sum (a numerical count) of the white pixels along each column of the master image 413, 415 (i.e., a vertical histogram). In other words, the white pixels in the first column of pixels of the master image 413, 415 may be counted, with the sum being represented by the number of pixels in the light region of the first column of the image 1001. The corresponding dark region of the first column of the image 1001 may represent the sum of black pixels in the first column of pixels of the master image 413, 415.
An image 1002 in the lower right corner of each of the histogram groups 1000, 1100 is a sum of the white pixels along each row of the master image 413, 415 (i.e., a horizontal histogram). In other words, the white pixels in the first row of pixels of the master image 413, 415 may be counted, with the sum being represented by the number of pixels in the light region of the first column of the image 1002. The corresponding dark region of the first row of the image 1002 may represent the sum of black pixels in the first row of pixels of the master image 413, 415.
An image 1003 in the upper right corner of each of the histogram groups 1000, 1100 is a low resolution image (e.g., 5×5 pixels) of the master image 413, 415. The images 1001, 1002, 1003 may be compared with previous OCR results of other normalized rank and suit images for one or more deck types to determine the correct rank or suit of the master images 413, 415.
Card Recognition Mode Operation
FIG. 12 is a flowchart 1200 illustrating a method for determining the identity of unknown images according to an embodiment of the present disclosure. The method of FIG. 12 is described with reference to the card processing system 400 of FIG. 4 and the raw image 417 of FIG. 5. The card recognition mode may be employed to operate the card processing system 400 that has been tuned to a deck of cards to recognize the identity of unknown cards as the cards pass through the card handling device. Using the calibration file 433, the card recognition processor 414 (or, alternatively, the processor 430 of the main control system 412) may process the unknown images 411 to be compared with the master images 413, 415 for determining a match.
At operation 1210, the card recognition processor 414 may be initialized by loading the calibration file 433 and the master images 413, 415 into the card recognition processor 414 from the appropriate deck library 434 for the deck type being used. The operator (e.g., dealer) may select the appropriate deck type (corresponding to the deck name file 435) from an interface of the card handling device. Loading the calibration file 433 may include loading the actual file itself, or loading at least some of the information contained therein.
At operation 1220, an unknown image 411 may be captured. For example, the dealer may place the deck into the card handling device for shuffling, for dealing, etc. Each time a card is moved past the card present sensor 420, the imaging device 416 may capture an unknown image 411 of the card responsive to the trigger signal from the card present sensor 420. Unknown images 411 may be captured during game play to verify hands, at the beginning of game play to verify a deck, etc.
At operation 1230, the unknown image 411 may be converted from a raw image to generate unknown rank and suit images. Using the parameters (e.g., the region of interest 504, rank area 508, suit area 510, etc.) from the calibration file 433, the card recognition processor 414 may generate an unknown rank image and an unknown suit image from the unknown image 411. Generating an unknown rank image and an unknown suit image may mean generating separate files from the unknown image, but also embodiments in which boundaries for the rank and suit areas are simply defined within the unknown image 411 so that any further comparison is limited to within the defined boundaries. Because the parameters in the calibration file 433 were also used to generate the master images 413, 415, the unknown rank image and the master rank images 413 may be the same size (i.e., dimensions), and the unknown suit image and the master suit images 415 may be the same size. When the unknown image 411 is captured, the card recognition processor 414 may also convert the unknown image 411 from a grayscale image to a black and white image.
At operation 1240, the unknown image 411 (e.g., the unknown rank and suit images) may be compared to the master images 413, 415. The comparison may be based on comparing pixel to pixel of each file to generate a correlation score. The score may be represented as a number of pixels, a percentage of pixels, or other suitable form. In another embodiment, each master image may be scanned across a larger unknown image 411 to determine a plurality of scores that may be used to determine if a match exists. In some embodiments, contours may be determined and analyzed using an OCR method.
The card recognition processor 414 may compare the unknown image 411 against the set of master images 413, 415 to determine the identity of the card. For example, the card recognition processor 414 may compare the unknown rank image (e.g., a separate image or a defined boundary around the rank) against each of the thirteen master images for the ranks (2-10, J, Q, K, A). The card recognition processor 414 may also compare the unknown suit image (e.g., a separate image or a defined boundary around the suit) against each of the four master images for the suits (Diamond, Heart, Spade, Club). Based on the results of these comparisons, the card recognition processor 414 may determine the identity of the card by selecting the symbols with the highest degree of correlation. The card recognition processor 414 may perform a plurality of processes that at least partially overlap in time. As a result, the unknown image 411 may be compared with a plurality of different master images 413, 415 at the same time.
In one embodiment, the comparison may include comparing the unknown image 411 and the master images 413, 415 pixels by pixel across each row of each image array. For example, the card recognition processor 414 may perform an inverted XOR operation of the corresponding pixels of the unknown image 411 and one of the master images 413, 415. In another embodiment, the comparison may include comparing cross-correlation values of matrices from the master image 413, 415 and the unknown image 411. Such a cross-correlation function may, however, require a larger amount of computational resources than embodiments that include a more simple summation.
At operation 1250, a match is determined based on the score. For example, the result of the inverted XOR operation may be summed to obtain a score (e.g., a numeric sum). For example, a black pixel (1) compared with a black pixel (1) may add to the score, a white pixel (0) compared with a white pixel (0) may add to the score, while a black pixel (1) compared with a white pixel (0) may not add to the score. A larger score may indicate a greater number of matching pixels. The score may be represented as a raw number of matching pixels or as a percentage of the total number of pixels of the images. For example, a score of 100% may be a perfect pixel to pixel match of the unknown image and a master image. Of course, a perfect match may not be reasonable to expect, and a match may still be found for a score having a percentage less than 100%. As a result, a minimum threshold may be set for what the card processing system 400 may consider a match. In some embodiments, the inverted XOR operation may be implemented as another logic operation. In some embodiments, like pixels may be added and dissimilar pixels may be not counted, while in other embodiments, dissimilar pixels may be added and then subtracted from the total number of pixels to determine the score. In addition, some embodiments may include counting the number of pixels that do not match and using the lowest score below some threshold for non-matching pixels.
The card processing system 400 may generate either a valid card ID (if a match is determined) or an indication of an error (if a match is not determined). For example, the card recognition processor 414 may return a score resulting from the comparison of the unknown image 411 with each master image 413, 415. To obtain a “match,” the score may be required to be above a minimum error threshold. In some situations, the scores for more than one master image may be above the minimum error threshold. The highest score, however, will be selected as the valid card ID. In other words, the master image 413, 415 used in the comparison that resulted the highest score may be selected as the card ID (assuming the score is above a minimum error threshold). A deck may also be flagged as being invalid if a pre-determined (e.g., 6) number of errors (e.g., misread cards) occur during card recognition. In some embodiments, the score may be based on the dissimilar pixels. Thus, a match would occur for the lowest score of dissimilarity (0% for a perfect match) above a maximum error threshold rather than being based on the score of similar pixels.
In some embodiments, the card handling device may display an image of the card acquired by the imaging device 416 on a display device of the card handling device. Such an image displayed on the display device may be viewed by the operator for verification that the valid card ID is the correct determination, or as a way to see an image of the card that produced an error indication.
At operation 1260, it is determined if another card is present to determine its identity. If so, the unknown image 411 for the new card is captured and the process continues.
FIGS. 13A, 13B, and 13C show a processed image 1300A, 1300B, 1300C of a card 1306A, 1306B, 1306C, in which the imaging device 416 (FIG. 4) had experienced dust build-up on the lens. Dust may accumulate on the lens with use of the card handling device. For example, FIG. 13A is an example of dust build-up after a first number cycles, FIG. 13B is an example of dust build-up after a greater number cycles, and FIG. 13C is an example of dust build-up after many additional cycles.
When the imaging device 416 accumulates dust, the raw image 417 may become a different shade of gray in terms of the grayscale image. The white area may become a little more gray and the black area may become a little less black. As discussed above, each pixel in a grayscale image has a value between white and black. When converting a grayscale image to a black and white image, a threshold value may be used as the cutoff point between black and white. As a result, the white area of the processed black and white image may become smaller as the camera accumulates dust.
The card recognition processor 414 (FIG. 4) may be configured to correct for dust build-up. In one embodiment, rather than setting a fixed threshold used to convert a grayscale image to a black and white image, the threshold value may be dynamically changed over time to compensate for dust build-up. As an example, the threshold may change to have different levels over time. The threshold may be used to convert the grayscale image to a black and white image during the calibration mode. The threshold may be set to a first level during calibration mode, and to a second level during card recognition mode. As an example, the dynamic changes (from the first level to the second level) may be performed to compensate for changes in lighting conditions. It is also contemplated that the dynamic changes may be based on other conditions. In some embodiments, the number of cycles may be counted and the threshold may dynamically change with the number of cycles. In some embodiments, one or more data filters may be employed to further improve the processed image during conversion from grayscale to a black and white image.
FIGS. 14A and 14B illustrate a problem of incorrectly splitting an image that may arise during calibration mode and/or card recognition mode. In particular, incorrectly splitting an image may often occur when the imaging device 416 (FIG. 4) is not clean or if the actual card itself has a mark. As a result, a blemish 1401 may appear on an image 1400 that is used to generate master images 413, 415 (in calibration mode) or the unknown images 411 (in card recognition mode) for a card 1406; however, it may be more likely for a card to have a blemish 1401 during card recognition mode (because of the repeated use of the card over time).
The blemish 1401 may be mistaken for either the rank or suit, often because the card recognition processor 414 may first look for the split between the rank and suit as a starting point in the analysis. As shown in FIG. 14A, the card recognition processor 414 may mistake a space between the blemish 1401 and the rank as the split point. As a result, the card recognition processor 414 may generate the localized image as the master rank image 413 during the calibration mode (or as the unknown rank image during the card recognition mode) based on the either the rank area 508 in the calibration file. The localized image, however, does not include the proper portion of the image 900 that includes the entire rank.
In some embodiments, the card recognition processor 414 may not create the unknown images 411 based on finding a split between the rank and suit symbols. Rather, during the card recognition mode, the card recognition processor 414 may compare the master images 413, 415 to the entire unknown image 411 rather than first generating a smaller localized image of just the rank or the suit. In other words, the entire field of view (or a portion thereof) that includes both the rank and the suit for the unknown image may be used for comparison with the master images 413, 415. As a result the unknown image 411 may be larger than the master images 413, 415. In such an embodiment, the card recognition processor 414 may perforin a plurality of comparisons of each master image 413, 415 and the unknown image 411 by scanning the master image 413, 415 across the unknown in an overlapping manner. For example, the master image 413, 415 may begin this comparison in the top left corner of the unknown image 411 and scan across pixel by pixel to the top right corner. The master image 413, 415 may then be moved down a row of pixels moving along the pixels of that row, and so on. If at some point during this scanning, a score results in a match, the card may be identified.
FIGS. 15A, 15B illustrate an issue that may arise when capturing an image using uneven illumination and fisheye distortion. FIG. 15A is a raw image 1500A using a grid for illustration. FIG. 15B is a processed image 1500B showing the grid after conversion from grayscale to black and white. As shown in FIGS. 15A and 15B, uneven lighting may cause some portions of the raw image 1500A to appear dark when they are actually white. As a result, recognition may not be as accurate due to a lower score when comparing images, or for more serious problems such as incorrect splitting (FIGS. 14A, 14B).
Uneven illumination may be corrected in a similar manner to the correction for dust build-up on the imaging device 416 (FIG. 4). For example, the card recognition processor 414 may be configured to dynamically change the threshold value used in the conversion from the grayscale image to the black and white image. The dynamic change may be responsive to a number of cycles of the imaging device 416, a light sensor detecting illumination changes, or other changes in the environment. In some embodiments, one or more data filters may be employed to further improve the processed image 1500B during conversion from grayscale to a black and white image.
FIGS. 16A, 16B, 16C are raw images 1600A, 1600B, 1600C from the imaging device 416 (FIG. 4) of a card handling device showing fish eye distortion caused by the imaging device 416. In some embodiments, short distances between the lens and the card caused by very small spaces within the card handling device and proximity of the imaging device 416 to the card may require a fisheye lens to be used with the imaging device 416. The fisheye lens may provide a wide field of view for the imaging device 416 that is sufficient to view the rank and suit for different types of cards. For example, some decks may have relatively large ranks and suits that take up a large area of the corner of the card. In addition, the location of the rank and suit may vary from one deck to another.
The fisheye lens may introduce fisheye distortion in the raw images 1600A, 1600B, 1600C taken by the imaging device 416. For example, FIG. 11A shows a raw image 1600A of a grid in which the squares of the grid are equal sizes. However, as shown in FIG. 16A, the fisheye distortion causes the squares of the grid to appear to be different sizes throughout the raw image 1600A. Near the center of the raw image 1600A, the fisheye distortion may not be as pronounced; however, near the edges and corners of the raw image 1600A, the fisheye distortion becomes more pronounced.
FIGS. 16B and 16C are raw images 1600B, 1600C taken with the imaging device 416 with a lens having fisheye distortion. When comparing the diamond suits in FIGS. 16B and 16C, it can be seen that the shapes of the diamond suits vary because of the different placement of the diamond suits within the field of view of the imaging device 416. For example, the diamond suit in FIG. 11B is smaller than the diamond suit in FIG. 11C because it is located further from the center of the field of view. In addition, the Ace (A) rank in FIG. 11B is mostly centered within the field of view. The King (K) rank in FIG. 16C, however, is off-center and is smaller near the top of the rank compared with the bottom of the rank. As a result, the more distortion experienced by the ranks and suits in an image, the greater the effect the distortion may have for the score from the comparison with the master images 413, 415 for the ranks and suits when determining the card ID. In some situations, fisheye distortion has caused a misidentification of the card ID (e.g., the suit is identified as a spade when the suit was really a diamond).
The card processing system 400 (FIG. 4) may be configured to correct for such fisheye distortion. In other words, the fisheye distortion may be reduced, such as by stretching the distorted image. In some embodiments, the image pixels may be translated from the raw image 1600A, 1600B, 1600C to a corrected raw image according to a correction table (i.e., look-up table). In some embodiments, the image pixels may be mathematically translated from the raw image to a corrected raw image.
FIGS. 17A, 17B, 17C are images 1700A, 1700B, 1700C for which the fisheye distortion has been reduced through mathematical stretching of the distorted image. As shown in FIG. 17A, the grid (which was distorted in FIG. 16A) has squares that are now substantially the same size. In FIG. 17B, the diamond suit (which was distorted in FIG. 16B) is now substantially symmetrical even though the diamond suit is off-center and proximate the edge of the image. In FIG. 17C, each of the King rank (K) and the diamond suit (which were distorted in FIG. 16C) are no longer distorted.
Additional embodiments include:
Embodiment 1
A method of automatically generating a calibration file for a card handling device, the method comprising: capturing a raw image from at least a portion of a card passing through a card handling device; and using a processor, automatically generating a calibration file stored in memory of a main control system linked with the card handling device, wherein automatically generating the calibration file comprises: identifying at least one parameter associated with a rank area around a rank of the at least a portion of the card; identifying at least one parameter associated with a suit area around a suit of the at least a portion of the card; and storing the at least one parameter associated with the rank area and the at least one parameter associated with the suit area in the calibration file.
Embodiment 2
The method of Embodiment 1, wherein automatically generating the calibration file comprises identifying a location and at least one parameter associated with a region of interest that is relatively larger than the rank area and the suit area, the method further comprising storing the location and the at least one parameter associated with the region of interest in the calibration file.
Embodiment 3
The method of Embodiment 1 or Embodiment 2, wherein capturing a raw image includes capturing a plurality of raw images from a plurality of different cards passing through the card handling device.
Embodiment 4
The method of Embodiment 3, wherein identifying at least one parameter associated with the rank area includes: identifying a at least one parameter associated with a plurality of rank areas from the plurality of different cards; and selecting the at least one parameter associated with the rank area to include a rank width parameter having a number of pixels representative of a width that is a widest dimension from the plurality of rank areas, and to include a rank depth parameter having a number of pixels representative of a depth that is a longest dimension from the plurality of rank areas.
Embodiment 5
The method of Embodiment 3, wherein identifying at least one parameter associated with the suit area includes: identifying at least one parameter associated with a plurality of suit areas from the plurality of different cards; and selecting at least one parameter associated with the rank area to include a suit width parameter having a number of pixels representative of a width that is a widest dimension from the plurality of suit areas, and to include a suit depth parameter having a number of pixels representative of a depth that is a longest dimension from the plurality of suit areas.
Embodiment 6
The method of any of Embodiments 1 through 5, further comprising storing the calibration file in a file system of an operating system running on the processor.
Embodiment 7
A method of automatically generating one or more deck libraries for one or more decks of cards, the method comprising: using a processor to automatically generate a first calibration file without user input in identifying at least one parameter associated with a rank area and at least one parameter associated with a suit area for a first deck type of cards, the calibration file including the parameters associated with the rank area and the suit area; storing the first calibration file in a first deck library for the first deck type; using the processor to automatically generate a plurality of master images for the cards of the first deck type using the parameters from the calibration file; and storing the plurality of master images for the cards of the first deck type in the first deck library.
Embodiment 8
The method of Embodiment 7, further comprising: using the processor to automatically generate a second calibration file for a second deck type of cards; storing the second calibration file in a second deck library for the second deck type; using the processor to automatically generate a second plurality of master images for the cards of the second deck type using the parameters from the second calibration file; and storing the second plurality of master images for the cards of the second deck type in the deck library.
Embodiment 9
The method of Embodiment 7 or Embodiment 8, further comprising linking each master image of the plurality of master images with an appropriate rank or suit.
Embodiment 10
The method of Embodiment 9, wherein linking each master image of the plurality of master images includes linking each master image according to an expected order that the cards were read into a card handling device.
Embodiment 11
The method of Embodiment 9, wherein linking each master image of the plurality of master images includes linking each master image from a deck that is unsorted.
Embodiment 12
The method of Embodiment 11, wherein linking each master image of the plurality of master images includes performing optical character recognition to each master image.
Embodiment 13
The method of Embodiment 11, wherein linking each master image of the plurality of master images includes comparing each master image of the plurality of master images with a set of images from a plurality of different deck types.
Embodiment 14
The method of Embodiment 11, wherein linking each master image of the plurality of master images includes comparing a normalized version of each master image of the plurality of master images with a set of normalized images from a plurality of different deck types.
Embodiment 15
The method of Embodiment 14, wherein comparing a normalized version of each master image of the plurality of master images with a set of normalized images from a plurality of different deck types includes performing a pixel by pixel comparison.
Embodiment 16
The method of Embodiment 15, wherein performing a pixel by pixel comparison further includes comparing a middle pixel with at least one additional neighboring pixel.
Embodiment 17
The method of any of Embodiments 7 through 16, wherein identifying at least one parameter associated with a rank area and at least one parameter associated with a suit area for a first deck type of cards includes performing a blob analysis to locate a rank and a suit for a card of the first deck type within a region of interest.
Embodiment 18
The method of Embodiment 17, wherein performing a blob analysis includes first locating a 10 rank to determine a width for the at least one parameter associated with the rank area.
Embodiment 19
A card processing apparatus, comprising: a memory device; an imaging device operably coupled with the memory device, such that raw images from the imaging device are stored in the memory device; and a main control system coupled with the imaging device, wherein the main control system is configured to run an operating system having a file directory system configured to store a plurality of deck libraries for a plurality of different deck types, wherein the main control system is configured to receive the raw images from the memory device, automatically generate a calibration file having parameters related to a rank area and a suit area for a deck type.
Embodiment 20
The card processing apparatus of Embodiment 19, including a card shuffler housing the memory device, the imaging device, and the main control system.
Embodiment 21
The card processing apparatus of Embodiment 19 or Embodiment 21, wherein the main control system is further configured to automatically generate a plurality of master images from the raw images according to the parameters of the calibration file.
Embodiment 22
The card processing apparatus of Embodiment 21, further comprising card recognition processor configured to load the plurality master images and the calibration file from the main control system, and compare an unknown image from the imaging device with the plurality of master images.
Embodiment 23
The card processing apparatus of Embodiment 22 wherein the card recognition processor is configured to compare the unknown image with the plurality of master images by comparing the unknown image with each master image pixel by pixel and sum the result of the comparing.
Embodiment 24
The card processing apparatus of Embodiment 22, wherein the card recognition processor includes a field-programmable gate array.
Embodiment 25
The card processing apparatus of any of Embodiments 21 through 24, wherein the main control system is configured to link the plurality of master images from an unsorted deck of cards with an appropriate rank and suit.
Embodiment 26
The card processing apparatus of Embodiment 25, wherein the main control system is configured to link the plurality of master images from an unsorted deck of cards with an appropriate rank and suit by: generating a normalized version of each master image of the plurality of master images; and comparing the normalized version of each master image of the plurality of master images with a plurality of normalized images corresponding to a plurality of different deck types.
While certain illustrative embodiments have been described in connection with the figures, those of ordinary skill in the art will recognize and appreciate that embodiments of the disclosure are not limited to those embodiments explicitly shown and described herein. Rather, many additions, deletions, and modifications to the embodiments described herein may be made without departing from the scope of embodiments of the disclosure as hereinafter claimed, including legal equivalents. In addition, features from one embodiment may be combined with features of another embodiment while still being encompassed within the scope of the disclosure as contemplated by the inventor.

Claims (26)

What is claimed is:
1. A method of automatically generating a calibration file for a card handling device, the method comprising:
capturing, with an imaging device of the card handling device, a raw image from at least a portion of a card passing through the card handling device from an input tray to an output tray of the card handling device; and
using a processor of the card handling device, automatically generating and storing a calibration file in memory of a main control system of the card handling device without user input, the calibration file being unique to the card handling device for a specific deck that includes the card such that the card handling device is trained for the specific deck during a subsequent card recognition mode, wherein automatically generating the calibration file comprises:
identifying at least one parameter associated with a rank area around a rank of the at least a portion of the card;
identifying at least one parameter associated with a suit area around a suit of the at least a portion of the card; and
storing the at least one parameter associated with the rank area and the at least one parameter associated with the suit area in the calibration file.
2. The method of claim 1, wherein automatically generating and storing the calibration file comprises identifying a location and at least one parameter associated with a region of interest that is relatively larger than the rank area and the suit area, the method further comprising storing the location and the at least one parameter associated with the region of interest in the calibration file.
3. The method of claim 1, wherein capturing a raw image includes capturing a plurality of raw images from a plurality of different cards passing through the card handling device.
4. The method of claim 1, wherein storing the calibration file in a file system of an operating system running on the processor.
5. The method of claim 3, wherein identifying at least one parameter associated with the rank area includes:
identifying at least one parameter associated with a plurality of rank areas from the plurality of different cards; and
selecting the at least one parameter associated with the rank area to include a rank width parameter having a number of pixels representative of a width that is a widest dimension from the plurality of rank areas, and to include a rank depth parameter having a number of pixels representative of a depth that is a longest dimension from the plurality of rank areas.
6. The method of claim 3, wherein identifying at least one parameter associated with the suit area includes:
identifying at least one parameter associated with a plurality of suit areas from the plurality of different cards; and
selecting at least one parameter associated with the rank area to include a suit width parameter having a number of pixels representative of a width that is a widest dimension from the plurality of suit areas, and to include a suit depth parameter having a number of pixels representative of a depth that is a longest dimension from the plurality of suit areas.
7. A method of automatically generating one or more deck libraries for one or more decks of cards, the method comprising:
using an imaging device of a card handling device to capture raw images of playing cards passing through the card handling device from an input tray to an output tray;
using a processor of the card handling device to automatically generate a first calibration file without user input in identifying at least one parameter associated with a rank area and at least one parameter associated with a suit area from the raw images for a first deck type of cards, the calibration file including the parameters associated with the rank area and the suit area;
storing, in memory of the card handling device, the first calibration file in a first deck library for the first deck type;
using the processor to automatically generate a plurality of master images for the cards of the first deck type using the parameters from the calibration file; and
storing, in memory, the plurality of master images for the cards of the first deck type in the first deck library such that the card handling device is trained to the first deck type for a subsequent card recognition mode.
8. The method of claim 7, further comprising:
using the processor to automatically generate a second calibration file for a second deck type of cards;
storing, in memory, the second calibration file in a second deck library for the second deck type;
using the processor to automatically generate a second plurality of master images for the cards of the second deck type using the parameters from the second calibration file; and
storing, in memory, the second plurality of master images for the cards of the second deck type in the deck library such that the card handling device is trained to the second deck type for a subsequent card recognition mode.
9. The method of claim 7, wherein identifying at least one parameter associated with a rank area and at least one parameter associated with a suit area for a first deck type of cards includes performing a blob analysis to locate a rank and a suit for a card of the first deck type within a region of interest.
10. The method of claim 9, wherein performing a blob analysis includes first locating the 10 rank to determine a width for the at least one parameter associated with the rank area.
11. The method of claim 7, further comprising automatically linking, using the processor, each master image of the plurality of master images with an appropriate rank or suit.
12. The method of claim 11, wherein linking each master image of the plurality of master images includes linking each master image according to an expected order that the cards were read into a card handling device.
13. The method of claim 11, wherein linking each master image of the plurality of master images includes linking each master image from a deck that is unsorted.
14. The method of claim 13, wherein linking each master image of the plurality of master images includes performing optical character recognition to each master image.
15. The method of claim 13, wherein linking each master image of the plurality of master images includes comparing each master image of the plurality of master images with a set of images from a plurality of different deck types.
16. The method of claim 13, wherein linking each master image of the plurality of master images includes comparing a normalized version of each master image of the plurality of master images with a set of normalized images from a plurality of different deck types.
17. The method of claim 16, wherein comparing a normalized version of each master image of the plurality of master images with a set of normalized images from a plurality of different deck types includes performing a pixel by pixel comparison.
18. The method of claim 17, wherein performing a pixel by pixel comparison further includes comparing a middle pixel with at least one additional neighboring pixel.
19. A card processing apparatus, comprising:
an input tray;
an output tray;
a memory device;
an imaging device operably coupled with the memory device, the imaging device configured to capture raw images of playing cards passing from the input tray through the card processing apparatus to the output tray for storage of the raw images in the memory device; and
a main control system coupled with the imaging device, wherein the main control system is configured to run an operating system having a file directory system configured to store a plurality of deck libraries for a plurality of different deck types, wherein the main control system is configured to receive the raw images from the memory device, and automatically generate a calibration file having parameters related to a rank area and a suit area for each deck type without user input.
20. The card processing apparatus of claim 19, including a card shuffler housing the memory device, the imaging device, and the main control system.
21. The card processing apparatus of claim 19, wherein the main control system is further configured to automatically generate a plurality of master images from the raw images according to the parameters of the calibration file.
22. The card processing apparatus of claim 21, wherein the main control system is configured to link the plurality of master images from an unsorted deck of cards with an appropriate rank and suit.
23. The card processing apparatus of claim 22, wherein the main control system is configured to link the plurality of master images from an unsorted deck of cards with an appropriate rank and suit by:
generating a normalized version of each master image of the plurality of master images; and
comparing the normalized version of each master image of the plurality of master images with a plurality of normalized images corresponding to a plurality of different deck types.
24. The card processing apparatus of claim 21, further comprising a card recognition processor configured to load the plurality master images and the calibration file from the main control system, and compare an unknown image from the imaging device with the plurality of master images.
25. The card processing apparatus of claim 24, wherein the card recognition processor is configured to compare the unknown image with the plurality of master images by comparing the unknown image with each master image pixel by pixel and sum the result of the comparing.
26. The card processing apparatus of claim 24, wherein the card recognition processor includes a field-programmable gate array.
US14/022,160 2012-09-28 2013-09-09 Methods for automatically generating a card deck library and master images for a deck of cards, and a related card processing apparatus Active 2033-08-12 US9511274B2 (en)

Priority Applications (21)

Application Number Priority Date Filing Date Title
US14/022,160 US9511274B2 (en) 2012-09-28 2013-09-09 Methods for automatically generating a card deck library and master images for a deck of cards, and a related card processing apparatus
AU2013324026A AU2013324026B2 (en) 2012-09-28 2013-09-13 Methods for card processing for card decks
PCT/US2013/059665 WO2014052041A2 (en) 2012-09-28 2013-09-13 Methods for automatically generating a card deck library and master images for a deck of cards, and a related card processing apparatus
EP18199796.6A EP3495026B1 (en) 2012-09-28 2013-09-13 Methods for automatically generating a card deck library and master images for a deck of cards, and a related card processing apparatus
MYPI2015700947A MY171682A (en) 2012-09-28 2013-09-13 Methods for card processing for card decks
ES18199796T ES2813878T3 (en) 2012-09-28 2013-09-13 Methods for automatically generating a library of card decks and master images for a deck of cards, and a related card processing apparatus
EP13842503.8A EP2885743B1 (en) 2012-09-28 2013-09-13 Methods for automatically generating a card deck library and master images for a deck of cards, and a related card processing apparatus
SG10201708011WA SG10201708011WA (en) 2012-09-28 2013-09-13 Methods for card processing for card decks
ES13842503T ES2703570T3 (en) 2012-09-28 2013-09-13 Methods for automatically generating a library of playing cards and master images for a deck of cards, and a card processing apparatus related
CN201811037865.XA CN109432757B (en) 2012-09-28 2013-09-13 Card handling apparatus, system and related method
SG11201502054SA SG11201502054SA (en) 2012-09-28 2013-09-13 Methods for card processing for card decks
KR1020157008215A KR102246222B1 (en) 2012-09-28 2013-09-13 Methods for card processing for card decks
CN201380060943.7A CN104885096B (en) 2012-09-28 2013-09-13 It is automatically generated for the board heap library of board heap and the method for master image and relevant board processing unit
CA2888102A CA2888102A1 (en) 2012-09-28 2013-09-13 Methods for automatically generating a card deck library and master images for a deck of cards, and a related card processing apparatus
ARP130103410A AR092659A1 (en) 2012-09-28 2013-09-24 METHODS TO AUTOMATICALLY GENERATE A LIBRARY OF NATIVE CARDS AND PATTERN PICTURES FOR A CARDBOARD OF BARS, AND AN APPARATUS FOR THE PROCESSING OF RELATED NAIPES
TW102135135A TWI619530B (en) 2012-09-28 2013-09-27 Methods for automatically generating a card deck library and master images for a deck of cards, and a related card processing apparatus
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CY181101234T CY1120963T1 (en) 2012-09-28 2018-11-21 METHODS OF AUTOMATIC CREATION OF PLAYGROUND LIBRARIES AND IMAGES FOR MATCHES OF PLAYING CARDS AND RELATED PROCESSING EQUIPMENT

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Cited By (36)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20170173449A1 (en) * 2012-09-28 2017-06-22 Bally Gaming, Inc. Methods for automatically generating a card deck library and master images for a deck of cards, and a related card processing apparatus
US9811671B1 (en) 2000-05-24 2017-11-07 Copilot Ventures Fund Iii Llc Authentication method and system
US10004976B2 (en) 2001-09-28 2018-06-26 Bally Gaming, Inc. Card handling devices and related methods
US10022617B2 (en) 2001-09-28 2018-07-17 Bally Gaming, Inc. Shuffler and method of shuffling cards
US10092819B2 (en) 2014-05-15 2018-10-09 Bally Gaming, Inc. Playing card handling devices, systems, and methods for verifying sets of cards
US10124241B2 (en) 2012-07-27 2018-11-13 Bally Gaming, Inc. Batch card shuffling apparatuses including multi card storage compartments, and related methods
US10137359B2 (en) 2009-04-07 2018-11-27 Bally Gaming, Inc. Playing card shufflers and related methods
US10166461B2 (en) 2009-04-07 2019-01-01 Bally Gaming, Inc. Card shuffling apparatuses and related methods
US10220297B2 (en) 2006-03-24 2019-03-05 Shuffle Master Gmbh & Co Kg Card handling apparatus and associated methods
US10226687B2 (en) 2001-09-28 2019-03-12 Bally Gaming, Inc. Method and apparatus for using upstream communication in a card shuffler
US10226686B2 (en) 2006-07-05 2019-03-12 Bally Gaming, Inc. Automatic card shuffler with pivotal card weight and divider gate
US10238954B2 (en) 2014-08-01 2019-03-26 Bally Gaming, Inc. Hand-forming card shuffling apparatuses including multi-card storage compartments, and related methods
US10279245B2 (en) 2014-04-11 2019-05-07 Bally Gaming, Inc. Method and apparatus for handling cards
US10286291B2 (en) 2006-11-10 2019-05-14 Bally Gaming, Inc. Remotely serviceable card-handling devices and related systems and methods
US10339765B2 (en) 2016-09-26 2019-07-02 Shuffle Master Gmbh & Co Kg Devices, systems, and related methods for real-time monitoring and display of related data for casino gaming devices
US10343054B2 (en) 2001-09-28 2019-07-09 Bally Gaming, Inc. Systems including automatic card handling apparatuses and related methods
US10403324B2 (en) 2012-09-28 2019-09-03 Bally Gaming, Inc. Card recognition system, card handling device, and method for tuning a card handling device
US10410475B2 (en) 2007-06-06 2019-09-10 Bally Gaming, Inc. Apparatus, system, method, and computer-readable medium for casino card handling with multiple hand recall feature
US10456659B2 (en) 2000-04-12 2019-10-29 Shuffle Master Gmbh & Co Kg Card handling devices and systems
US10486055B2 (en) 2014-09-19 2019-11-26 Bally Gaming, Inc. Card handling devices and methods of randomizing playing cards
US10525329B2 (en) 2006-05-31 2020-01-07 Bally Gaming, Inc. Methods of feeding cards
US10532272B2 (en) 2001-09-28 2020-01-14 Bally Gaming, Inc. Flush mounted card shuffler that elevates cards
US10576363B2 (en) 2005-06-13 2020-03-03 Bally Gaming, Inc. Card shuffling apparatus and card handling device
US10583349B2 (en) 2010-10-14 2020-03-10 Shuffle Master Gmbh & Co Kg Card handling systems, devices for use in card handling systems and related methods
US10632363B2 (en) 2015-12-04 2020-04-28 Shuffle Master Gmbh & Co Kg Card handling devices and related assemblies and components
US10668362B2 (en) 2011-07-29 2020-06-02 Sg Gaming, Inc. Method for shuffling and dealing cards
USD903771S1 (en) 2019-08-02 2020-12-01 Ags Llc Hand forming shuffler
US10926164B2 (en) 2006-05-31 2021-02-23 Sg Gaming, Inc. Playing card handling devices and related methods
US10933300B2 (en) 2016-09-26 2021-03-02 Shuffle Master Gmbh & Co Kg Card handling devices and related assemblies and components
US11173383B2 (en) 2019-10-07 2021-11-16 Sg Gaming, Inc. Card-handling devices and related methods, assemblies, and components
US11338194B2 (en) 2018-09-28 2022-05-24 Sg Gaming, Inc. Automatic card shufflers and related methods of automatic jam recovery
US11376489B2 (en) 2018-09-14 2022-07-05 Sg Gaming, Inc. Card-handling devices and related methods, assemblies, and components
US11426649B2 (en) 2018-04-19 2022-08-30 Ags Llc System and method for verifying the integrity of a deck of playing cards
US11691083B2 (en) * 2018-11-26 2023-07-04 Photo Butler Inc. Scavenger hunt facilitation
US11898837B2 (en) 2019-09-10 2024-02-13 Shuffle Master Gmbh & Co Kg Card-handling devices with defect detection and related methods
US11896891B2 (en) 2018-09-14 2024-02-13 Sg Gaming, Inc. Card-handling devices and related methods, assemblies, and components

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6333871B2 (en) * 2016-02-25 2018-05-30 ファナック株式会社 Image processing apparatus for displaying an object detected from an input image
US10853716B2 (en) * 2016-12-27 2020-12-01 Microsoft Technology Licensing, Llc Systems and methods for a mathematical chat bot
KR102302134B1 (en) * 2021-04-05 2021-09-13 조성재 Go game referee device

Citations (699)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US130281A (en) 1872-08-06 Improvement in electrical water and pressure indicators for steam-boilers
US205030A (en) 1878-06-18 Improvement in apparatus for shuffling cards
US609730A (en) 1898-08-23 Joseph booth
US673154A (en) 1901-02-08 1901-04-30 Bellows Novelty Company Device for shuffling playing-cards.
US793489A (en) 1903-12-15 1905-06-27 Lewis Caleb Williams Card-receptacle for duplicate cribbage.
US892389A (en) 1906-04-18 1908-07-07 Benjamin F Bellows Card-shuffling device.
US1014219A (en) 1909-11-01 1912-01-09 Edward J Smith Card-shuffler.
US1043109A (en) 1912-01-23 1912-11-05 Horace Hurm Device for shuffling and distributing cards.
US1157898A (en) 1915-06-07 1915-10-26 George J Perret Card-shuffling machine.
US1556856A (en) 1924-02-28 1925-10-13 George C Wing Device for shuffling cards
GB337147A (en) 1929-09-26 1930-10-30 Gustav Wendorff A new or improved device for shuffling playing cards
US1850114A (en) 1929-06-04 1932-03-22 Francis D Mccaddin Machine for dealing and shuffling playing cards
US1885276A (en) 1931-01-22 1932-11-01 Robert C Mckay Automatic card shuffler and dealer
US1955926A (en) 1931-01-27 1934-04-24 Paul E Matthaey Means for shuffling cards
GB414014A (en) 1934-04-12 1934-07-26 Gordon John Crichton Wakeford Improved device for shuffling playing cards
US1992085A (en) 1932-10-27 1935-02-19 Robert C Mckay Method of dealing playing cards
US1998690A (en) 1932-10-31 1935-04-23 Shepherd William Shuffling device
US2001220A (en) 1932-01-06 1935-05-14 Richard C Smith Card dealing device
US2001918A (en) 1935-01-12 1935-05-21 Wilford J Nevius Card table top
US2016030A (en) 1931-06-30 1935-10-01 James L Entwistle Card shuffling and dealing device
US2043343A (en) 1933-09-29 1936-06-09 Western Electric Co Card game apparatus
US2060096A (en) 1935-05-28 1936-11-10 Jeannette Northrup Playing card shuffler
US2065824A (en) 1930-03-04 1936-12-29 Robert H Plass Card dealing machine
DE672616C (en) 1936-06-17 1939-03-06 Fernseh Akt Ges Image dismantling tube
US2159958A (en) 1934-10-18 1939-05-23 Eugene A Roll Device for mixing playing cards or the like
US2185474A (en) 1937-11-08 1940-01-02 Sydney C Nott Card shuffling and dealing device
US2254484A (en) 1937-02-26 1941-09-02 Gen Motors Corp Temperature responsive control
US2328153A (en) 1942-09-29 1943-08-31 Alexander W Laing Trim tool
US2328879A (en) 1943-09-07 isaacson
US2364413A (en) 1941-07-19 1944-12-05 Eastman Kodak Co Variable field mechanism for view finders
US2525305A (en) 1949-08-04 1950-10-10 Crucible Steel Co America Apparatus for feeding elongated stock to and from fabricating units
US2543522A (en) 1945-06-08 1951-02-27 Samuel J Cohen Apparatus for proportioning liquids
US2588582A (en) 1950-12-01 1952-03-11 Clifford P Sivertson Card shuffling and dealing device
US2661215A (en) 1950-03-06 1953-12-01 Fred H Stevens Card shuffler
US2676020A (en) 1950-01-16 1954-04-20 Floyd H Ogden Card shuffling device
US2692777A (en) 1951-02-14 1954-10-26 Mathias J Miller Card shuffling machine
US2701720A (en) 1950-10-06 1955-02-08 Floyd H Ogden Card shuffling device
US2705638A (en) 1950-06-12 1955-04-05 Daniel E Newcomb Device for shuffling playing cards
US2711319A (en) 1950-04-10 1955-06-21 Morgan Earl Playing card shuffler
US2714510A (en) 1950-06-12 1955-08-02 Rocco Products Inc Mechanical card shuffler
US2717782A (en) 1952-02-18 1955-09-13 Joseph W Droll Device for shuffling playing cards
US2727747A (en) 1952-07-08 1955-12-20 Jr Charles W Semisch Card shuffling device
US2731271A (en) 1952-07-14 1956-01-17 Robert N Brown Combined dealer, shuffler, and tray for playing cards
US2747877A (en) 1950-10-24 1956-05-29 Joseph O Howard Card shuffling mechanism
US2755090A (en) 1952-09-27 1956-07-17 Loyd I Aldrich Card shuffler
US2757005A (en) 1951-06-06 1956-07-31 Fred W Nothaft Card shuffling device
US2760779A (en) 1951-01-19 1956-08-28 Floyd H Ogden Card dealing mechanism
US2770459A (en) 1953-09-02 1956-11-13 Ibm Stopping device for card feeding machines
US2778643A (en) 1954-08-09 1957-01-22 George M Williams Card shuffler
US2778644A (en) 1955-10-03 1957-01-22 James R Stephenson Card shuffler and dealer
US2782040A (en) 1954-03-22 1957-02-19 Albert J Matter Card shuffler and tray
US2790641A (en) 1953-11-16 1957-04-30 Josiah W Adams Card shuffling device
US2793863A (en) 1954-10-28 1957-05-28 Liebelt Gottlieb Card shufflers
US2815214A (en) 1954-04-09 1957-12-03 Basil G Hall Card shuffler
US2821399A (en) 1955-06-24 1958-01-28 Heinoo Lauri Card playing machine
US2914215A (en) 1954-09-07 1959-11-24 Superior Mfg Co Vending machine
US2937739A (en) 1954-05-27 1960-05-24 Levy Maurice Moise Conveyor system
US2950005A (en) 1956-08-10 1960-08-23 Burroughs Corp Card sorter
USRE24986E (en) 1961-05-16 Card shuffler and dealer
US3067885A (en) 1959-02-24 1962-12-11 Conrad D Kohler Automatic panel feeder
US3107096A (en) 1960-10-10 1963-10-15 Eruest T Osborn Card shuffling device
US3124674A (en) 1961-05-19 1964-03-10 Edwards
US3131935A (en) 1959-06-27 1964-05-05 Gronneberg Roar Card dealing apparatus including reciprocating pusher and cooperating rollers
US3147978A (en) 1957-01-16 1964-09-08 Sjostrand Hjalmar Emanuel Playing card dealing devices
US3222071A (en) 1963-02-14 1965-12-07 Lang William Prearranged hand playing card dealing apparatus
US3235741A (en) 1961-04-24 1966-02-15 Invac Corp Switch
US3288308A (en) 1964-09-11 1966-11-29 Carl E Gingher Clothes hanger suspension device
US3305237A (en) 1964-03-02 1967-02-21 Emil J Granius Shuffler with adjustable gates having offset playing card hold down means
US3312473A (en) 1964-03-16 1967-04-04 Willard I Friedman Card selecting and dealing machine
US3452509A (en) 1966-04-11 1969-07-01 Itt Automatic sorting system for discrete flat articles
US3530968A (en) 1968-05-16 1970-09-29 Gen Electric Ticket handling and storage mechanism especially useful in automatic fare collection systems
US3588116A (en) 1968-02-29 1971-06-28 Mamoru Matsuoka Card shuffler
US3589730A (en) 1969-08-07 1971-06-29 John P Slay Playing-card shuffler
US3595388A (en) 1969-11-25 1971-07-27 Supreme Equip & Syst Random access store for cards, file folders, and the like
US3597076A (en) 1969-01-17 1971-08-03 Pitney Bowes Inc Label-making system
US3618933A (en) 1969-11-10 1971-11-09 Burroughs Corp Card feed device
US3627331A (en) 1970-07-21 1971-12-14 Marlo W V Erickson Automatic card dealing machine
US3666270A (en) 1971-02-08 1972-05-30 Frank A Mazur Card dealer
US3680853A (en) 1970-12-01 1972-08-01 Burroughs Corp Record card reader, feeder and transport device
US3690670A (en) 1969-12-15 1972-09-12 John Cassady Card sorting device
US3704938A (en) 1970-10-01 1972-12-05 Hyman Fanselow Punch card viewer
US3716238A (en) 1970-07-13 1973-02-13 B Porter Method of prearranging playing cards for educational and entertainment purposes
US3751041A (en) 1971-03-05 1973-08-07 T Seifert Method of utilizing standardized punch cards as punch coded and visually marked playing cards
US3761079A (en) 1971-03-05 1973-09-25 Automata Corp Document feeding mechanism
US3810627A (en) 1968-01-22 1974-05-14 D Levy Data-processing system for determining gains and losses from bets
US3861261A (en) 1973-11-09 1975-01-21 Rubatex Corp Apparatus for positioning, holding and die-cutting resilient and semi-resilient strip material
US3897954A (en) 1974-06-14 1975-08-05 J David Erickson Automatic card distributor
US3909002A (en) 1970-04-02 1975-09-30 David Levy Data-processing system for determining gains and losses from bets
US3929339A (en) 1973-09-28 1975-12-30 S I T A V S P A Societa Increm Device for distribution of playing-cards
US3944230A (en) 1975-06-23 1976-03-16 Sol Fineman Card shuffler
US3944077A (en) 1971-08-02 1976-03-16 Genevieve I. Hanscom Shuffle feed sizing mechanism
US3949219A (en) 1975-01-20 1976-04-06 Optron, Inc. Optical micro-switch
US3968364A (en) 1975-08-27 1976-07-06 Xerox Corporation Height sensing device
US4023705A (en) 1975-04-10 1977-05-17 Lawrence L. Reiner Dispenser for cards and the like
US4033590A (en) 1974-08-26 1977-07-05 Francoise Pic Apparatus for distributing playing cards automatically
US4072930A (en) 1974-09-13 1978-02-07 Bally Manufacturing Corporation Monitoring system for use with amusement game devices
US4088265A (en) 1976-05-26 1978-05-09 Peripheral Dynamics, Inc. Adaptable mark/hole sensing arrangement for card reader apparatus
DE2757341A1 (en) 1976-12-28 1978-06-29 Tanaka Seiki Co DEVICE FOR SORTING INFORMATION CARDS
US4151410A (en) 1977-12-02 1979-04-24 Burroughs Corporation Document processing, jam detecting apparatus and process
US4159581A (en) 1977-08-22 1979-07-03 Edward Lichtenberg Device for instruction in the game of bridge and method of and device for dealing predetermined bridge hands
US4162649A (en) 1977-05-18 1979-07-31 Wiggins Teape Limited Sheet stack divider
US4166615A (en) 1974-12-27 1979-09-04 Sharp Kabushiki Kaisha Means for determining difference in copy sheet transportation states for an electrostatic reproduction machine
AU5025479A (en) 1979-03-09 1980-03-06 Hugh Vincent Boughton Card shuffling machine
US4232861A (en) 1976-12-22 1980-11-11 Maul Lochkartengerate Gmbh Sorting method and machine
US4280690A (en) 1978-07-21 1981-07-28 James Hill Collator
US4283709A (en) 1980-01-29 1981-08-11 Summit Systems, Inc. (Interscience Systems) Cash accounting and surveillance system for games
US4310160A (en) 1979-09-10 1982-01-12 Leo Willette Card shuffling device
US4339134A (en) 1977-07-05 1982-07-13 Rockwell International Corporation Electronic card game
US4339798A (en) 1979-12-17 1982-07-13 Remote Dynamics Remote gaming system
US4361393A (en) 1981-04-15 1982-11-30 Xerox Corporation Very high speed duplicator with finishing function
US4368972A (en) 1981-04-15 1983-01-18 Xerox Corporation Very high speed duplicator with finishing function
US4369972A (en) 1981-02-20 1983-01-25 Parker Richard A Card dealer wheel assembly with adjustable arm
US4374309A (en) 1979-06-01 1983-02-15 Walton Russell C Machine control device
US4377285A (en) 1981-07-21 1983-03-22 Vingt-Et-Un Corporation Playing card dispenser
US4385827A (en) 1981-04-15 1983-05-31 Xerox Corporation High speed duplicator with finishing function
US4388994A (en) 1979-11-14 1983-06-21 Nippon Electric Co., Ltd. Flat-article sorting apparatus
US4397469A (en) 1982-08-02 1983-08-09 Carter Iii Bartus Method of reducing predictability in card games
US4421501A (en) 1982-01-18 1983-12-20 Scheffer Bruce A Web folding apparatus
US4421312A (en) 1982-04-23 1983-12-20 Delgado Pedro R Foldable board game with card shuffler
USD274069S (en) 1981-07-02 1984-05-29 Fromm Stephen J Dispenser for playing cards or the like
US4467424A (en) 1979-12-17 1984-08-21 Hedges Richard A Remote gaming system
US4494197A (en) 1980-12-11 1985-01-15 Seymour Troy Automatic lottery system
US4497488A (en) 1982-11-01 1985-02-05 Plevyak Jerome B Computerized card shuffling machine
US4512580A (en) 1982-11-15 1985-04-23 John Matviak Device for reducing predictability in card games
US4513969A (en) 1982-09-20 1985-04-30 American Gaming Industries, Inc. Automatic card shuffler
US4515367A (en) 1983-01-14 1985-05-07 Robert Howard Card shuffler having a random ejector
US4531187A (en) 1982-10-21 1985-07-23 Uhland Joseph C Game monitoring apparatus
US4534562A (en) 1983-06-07 1985-08-13 Tyler Griffin Company Playing card coding system and apparatus for dealing coded cards
US4549738A (en) 1984-04-30 1985-10-29 Morris Greitzer Swivel chip and card dispenser for game boards
US4566782A (en) 1983-12-22 1986-01-28 Xerox Corporation Very high speed duplicator with finishing function using dual copy set transports
US4575367A (en) 1984-08-06 1986-03-11 General Motors Corporation Slip speed sensor for a multiple link belt drive system
US4586712A (en) 1982-09-14 1986-05-06 Harold Lorber Automatic shuffling apparatus
WO1987000764A1 (en) 1985-08-02 1987-02-12 Churkendoose, Incorporated Method of playing a card game
US4659082A (en) 1982-09-13 1987-04-21 Harold Lorber Monte verde playing card dispenser
US4662637A (en) 1985-07-25 1987-05-05 Churkendoose, Incorporated Method of playing a card selection game
US4662816A (en) 1982-04-01 1987-05-05 Womako Maschinenkonstruktionen Gmbh Method of breaking up stacks of paper sheets or the like
US4667959A (en) 1985-07-25 1987-05-26 Churkendoose, Incorporated Apparatus for storing and selecting cards
US4741524A (en) 1986-03-18 1988-05-03 Xerox Corporation Sorting apparatus
US4750743A (en) 1986-09-19 1988-06-14 Pn Computer Gaming Systems, Inc. Playing card dispenser
US4755941A (en) 1985-09-06 1988-07-05 Lorenzo Bacchi System for monitoring the movement of money and chips on a gaming table
US4759448A (en) 1985-11-18 1988-07-26 Sanden Corporation Apparatus for identifying and storing documents
US4770421A (en) 1987-05-29 1988-09-13 Golden Nugget, Inc. Card shuffler
US4770412A (en) 1987-03-02 1988-09-13 Wolfe Henry S Free standing, self-righting sculptured punching bags
US4807884A (en) 1987-12-28 1989-02-28 Shuffle Master, Inc. Card shuffling device
US4822050A (en) 1986-03-06 1989-04-18 Acticiel S.A. Device for reading and distributing cards, in particular playing cards
US4832342A (en) 1982-11-01 1989-05-23 Computer Gaming Systems, Inc. Computerized card shuffling machine
US4858000A (en) 1988-09-14 1989-08-15 A. C. Nielsen Company Image recognition audience measurement system and method
US4861041A (en) 1988-04-18 1989-08-29 Caribbean Stud Enterprises, Inc. Methods of progressive jackpot gaming
DE3807127A1 (en) 1988-03-04 1989-09-14 Jobst Kramer Device for detecting the value of playing cards
US4876000A (en) 1986-01-16 1989-10-24 Ameer Mikhail G Postal stamp process, apparatus, and metering device, therefor
US4900009A (en) 1987-04-20 1990-02-13 Canon Kabushiki Kaisha Sorter
US4904830A (en) 1989-02-28 1990-02-27 Rizzuto Anthony B Liquid shut-off system
US4921109A (en) 1985-05-07 1990-05-01 Shibuya Computer Service Kabushiki Kaisha Card sorting method and apparatus
US4926327A (en) 1983-04-05 1990-05-15 Sidley Joseph D H Computerized gaming system
US4948134A (en) 1988-04-18 1990-08-14 Caribbean Stud Enterprises, Inc. Electronic poker game
US4951950A (en) 1987-10-02 1990-08-28 Acticiel S.A. Manual playing card dealing appliance for the production of programmed deals
US4969648A (en) 1988-10-13 1990-11-13 Peripheral Dynamics, Inc. Apparatus and method for automatically shuffling cards
US4993587A (en) 1988-05-09 1991-02-19 Asahi Seiko Kabushiki Kaisha Card dispensing apparatus for card vending machine
US4995615A (en) 1989-07-10 1991-02-26 Cheng Kuan H Method and apparatus for performing fair card play
US5000453A (en) 1989-12-21 1991-03-19 Card-Tech, Ltd. Method and apparatus for automatically shuffling and cutting cards and conveying shuffled cards to a card dispensing shoe while permitting the simultaneous performance of the card dispensing operation
US5039102A (en) 1989-12-04 1991-08-13 Tech Art, Inc. Card reader for blackjack table
US5067713A (en) 1990-03-29 1991-11-26 Technical Systems Corp. Coded playing cards and apparatus for dealing a set of cards
US5078405A (en) 1988-07-05 1992-01-07 Caribbean Stud Enterprises, Inc. Apparatus for progressive jackpot gaming
US5081487A (en) 1991-01-25 1992-01-14 Xerox Corporation Cut sheet and computer form document output tray unit
US5096197A (en) 1991-05-22 1992-03-17 Lloyd Embury Card deck shuffler
US5102293A (en) 1989-10-12 1992-04-07 Ingenieurburo Willi Schneider Unstacking apparatus for removing a partial stack from a stack of sheets
US5118114A (en) 1991-08-15 1992-06-02 Domenick Tucci Method and apparatus for playing a poker type game
US5121192A (en) 1989-10-19 1992-06-09 Sanyo Electric Co., Ltd. Solid-state color imaging device
US5121921A (en) 1991-09-23 1992-06-16 Willard Friedman Card dealing and sorting apparatus and method
US5154429A (en) 1992-02-24 1992-10-13 Four Queens, Inc. Method of playing multiple action blackjack
WO1992021413A1 (en) 1991-05-31 1992-12-10 Tech Art, Incorporated Improved card reader for blackjack table
US5179517A (en) 1988-09-22 1993-01-12 Bally Manufacturing Corporation Game machine data transfer system utilizing portable data units
US5197094A (en) 1990-06-15 1993-03-23 Arachnid, Inc. System for remotely crediting and billing usage of electronic entertainment machines
US5199710A (en) 1991-12-27 1993-04-06 Stewart Lamle Method and apparatus for supplying playing cards at random to the casino table
US5209476A (en) 1990-12-28 1993-05-11 Peter Eiba Gaming machine and operating method therefor
US5224712A (en) 1991-03-01 1993-07-06 No Peek 21 Card mark sensor and methods for blackjack
US5240140A (en) 1991-02-12 1993-08-31 Fairform Mfg Co Ltd Card dispenser
US5248142A (en) 1992-12-17 1993-09-28 Shuffle Master, Inc. Method and apparatus for a wagering game
US5257179A (en) 1991-10-11 1993-10-26 Williams Electronics Games, Inc. Audit and pricing system for coin-operated games
US5259907A (en) 1990-03-29 1993-11-09 Technical Systems Corp. Method of making coded playing cards having machine-readable coding
US5261667A (en) 1992-12-31 1993-11-16 Shuffle Master, Inc. Random cut apparatus for card shuffling machine
US5267248A (en) 1990-12-24 1993-11-30 Eastman Kodak Company Method and apparatus for selecting an optimum error correction routine
US5275411A (en) 1993-01-14 1994-01-04 Shuffle Master, Inc. Pai gow poker machine
US5276312A (en) 1990-12-10 1994-01-04 Gtech Corporation Wagering system using smartcards for transfer of agent terminal data
US5283422A (en) 1986-04-18 1994-02-01 Cias, Inc. Information transfer and use, particularly with respect to counterfeit detection
US5288081A (en) 1993-02-25 1994-02-22 Shuffle Master, Inc. Method of playing a wagering game
US5299089A (en) 1991-10-28 1994-03-29 E. I. Dupont De Nemours & Co. Connector device having two storage decks and three contact arrays for one hard disk drive package or two memory cards
US5303921A (en) 1992-12-31 1994-04-19 Shuffle Master, Inc. Jammed shuffle detector
US5344146A (en) 1993-03-29 1994-09-06 Lee Rodney S Playing card shuffler
US5356145A (en) 1993-10-13 1994-10-18 Nationale Stichting Tot Exploitatie Van Casinospelen In Nederland Card shuffler
US5362053A (en) 1989-12-04 1994-11-08 Tech Art, Inc. Card reader for blackjack table
US5374061A (en) 1992-12-24 1994-12-20 Albrecht; Jim Card dispensing shoe having a counting device and method of using the same
US5377973A (en) 1988-04-18 1995-01-03 D&D Gaming Patents, Inc. Methods and apparatus for playing casino card games including a progressive jackpot
US5382024A (en) 1992-10-13 1995-01-17 Casinos Austria Aktiengesellschaft Playing card shuffler and dispenser
US5382025A (en) 1988-04-18 1995-01-17 D & D Gaming Patents, Inc. Method for playing a poker game
US5390910A (en) 1993-05-24 1995-02-21 Xerox Corporation Modular multifunctional mailbox unit with interchangeable sub-modules
US5397128A (en) 1994-08-08 1995-03-14 Hesse; Michael A. Casino card game
US5397133A (en) 1993-09-30 1995-03-14 At&T Corp. System for playing card games remotely
US5416308A (en) 1991-08-29 1995-05-16 Video Lottery Technologies, Inc. Transaction document reader
US5431407A (en) 1994-09-29 1995-07-11 Hofberg; Renee B. Method of playing a casino card game
US5431399A (en) 1994-02-22 1995-07-11 Mpc Computing, Inc Card shuffling and dealing apparatus
US5445377A (en) 1994-03-22 1995-08-29 Steinbach; James R. Card shuffler apparatus
WO1995028210A1 (en) 1994-04-18 1995-10-26 Casinovations Inc. Playing card shuffling machines and methods
US5470079A (en) 1994-06-16 1995-11-28 Bally Gaming International, Inc. Game machine accounting and monitoring system
USD365853S (en) 1993-12-22 1996-01-02 Casinos Austria Aktiengesellschaft Plate for a gaming table
US5489101A (en) 1995-06-06 1996-02-06 Moody; Ernest W. Poker-style card game
WO1996007153A1 (en) 1994-09-01 1996-03-07 Strisower John M A system for the tracking and management of transactions in a pit area of a gaming establishment
US5515477A (en) 1991-04-22 1996-05-07 Sutherland; John Neural networks
US5524888A (en) 1994-04-28 1996-06-11 Bally Gaming International, Inc. Gaming machine having electronic circuit for generating game results with non-uniform probabilities
US5531448A (en) 1995-06-28 1996-07-02 Moody Ernest W Poker-style card game
US5544892A (en) 1993-02-25 1996-08-13 Shuffle Master, Inc. Multi-tiered wagering method and game
US5586766A (en) 1994-05-13 1996-12-24 Casinovations, Inc. Blackjack game system and methods
US5586936A (en) 1994-09-22 1996-12-24 Mikohn Gaming Corporation Automated gaming table tracking system and method therefor
US5605334A (en) 1995-04-11 1997-02-25 Mccrea, Jr.; Charles H. Secure multi-site progressive jackpot system for live card games
WO1997010577A1 (en) 1995-09-14 1997-03-20 Grips Electronic Ges.Mbh Apparatus and method for data gathering in games of chance
US5613912A (en) 1995-04-05 1997-03-25 Harrah's Club Bet tracking system for gaming tables
US5632483A (en) 1995-06-29 1997-05-27 Peripheral Dynamics, Inc. Blackjack scanner apparatus and method
US5636843A (en) 1992-09-04 1997-06-10 Roberts; Carl Methods for prop bets for blackjack and other games
EP0777514A1 (en) 1994-08-15 1997-06-11 Gaming Products Limited Card handling apparatus
US5651548A (en) 1995-05-19 1997-07-29 Chip Track International Gaming chips with electronic circuits scanned by antennas in gaming chip placement areas for tracking the movement of gaming chips within a casino apparatus and method
US5655961A (en) 1994-10-12 1997-08-12 Acres Gaming, Inc. Method for operating networked gaming devices
US5669816A (en) 1995-06-29 1997-09-23 Peripheral Dynamics, Inc. Blackjack scanner apparatus and method
US5676231A (en) 1996-01-11 1997-10-14 International Game Technology Rotating bill acceptor
US5685543A (en) 1996-05-28 1997-11-11 Garner; Lee B. Playing card holder and dispenser
US5690324A (en) 1994-12-14 1997-11-25 Tohoku Ricoh Co., Ltd. Sorter for a stencil printer and paper transport speed control device for sorter
US5692748A (en) 1996-09-26 1997-12-02 Paulson Gaming Supplies, Inc., Card shuffling device and method
US5695189A (en) 1994-08-09 1997-12-09 Shuffle Master, Inc. Apparatus and method for automatically cutting and shuffling playing cards
US5701565A (en) 1996-03-29 1997-12-23 Xerox Corporation Web feed printer drive system
US5707287A (en) 1995-04-11 1998-01-13 Mccrea, Jr.; Charles H. Jackpot system for live card games based upon game play wagering and method therefore
US5707286A (en) 1994-12-19 1998-01-13 Mikohn Gaming Corporation Universal gaming engine
US5711525A (en) 1996-02-16 1998-01-27 Shuffle Master, Inc. Method of playing a wagering game with built in probabilty variations
US5718427A (en) 1996-09-30 1998-02-17 Tony A. Cranford High-capacity automatic playing card shuffler
US5719288A (en) 1993-12-23 1998-02-17 Basf Aktiengesellschaft Pyridone dyes
US5720484A (en) 1996-11-19 1998-02-24 Hsu; James Method of playing a casino card game
US5722893A (en) 1995-10-17 1998-03-03 Smart Shoes, Inc. Card dispensing shoe with scanner
JPH1063933A (en) 1996-08-21 1998-03-06 Konami Co Ltd Merchandise supplying device and game machine using the device
US5735724A (en) 1997-01-24 1998-04-07 Dah Yang Toy Industrial Co., Ltd. Toy assembly having moving toy elements
US5735742A (en) 1995-09-20 1998-04-07 Chip Track International Gaming table tracking system and method
US5743798A (en) 1996-09-30 1998-04-28 Progressive Games, Inc. Apparatus for playing a roulette game including a progressive jackpot
US5768382A (en) 1995-11-22 1998-06-16 Walker Asset Management Limited Partnership Remote-auditing of computer generated outcomes and authenticated biling and access control system using cryptographic and other protocols
US5770553A (en) 1993-12-11 1998-06-23 Basf Aktiengesellschaft Use of polyaspartic acid in detergents and cleaners
US5770533A (en) 1994-05-02 1998-06-23 Franchi; John Franco Open architecture casino operating system
US5772505A (en) 1995-06-29 1998-06-30 Peripheral Dynamics, Inc. Dual card scanner apparatus and method
US5779546A (en) 1997-01-27 1998-07-14 Fm Gaming Electronics L.P. Automated gaming system and method of automated gaming
US5781647A (en) 1995-10-05 1998-07-14 Digital Biometrics, Inc. Gambling chip recognition system
US5785321A (en) 1995-09-25 1998-07-28 Van Putten; Mauritius Hendrikus Paulus Maria Roulette registration system
US5788574A (en) 1995-02-21 1998-08-04 Mao, Inc. Method and apparatus for playing a betting game including incorporating side betting which may be selected by a game player
US5791988A (en) 1996-07-22 1998-08-11 Nomi; Shigehiko Computer gaming device with playing pieces
US5802560A (en) 1995-08-30 1998-09-01 Ramton International Corporation Multibus cached memory system
US5803808A (en) 1995-08-18 1998-09-08 John M. Strisower Card game hand counter/decision counter device
WO1998040136A1 (en) 1997-03-13 1998-09-17 Access Investments Pty Ltd Collating and sorting apparatus
US5810355A (en) 1996-09-05 1998-09-22 Trilli; Pasquale Apparatus for holding multiple decks of playing cards
US5813912A (en) 1996-07-08 1998-09-29 Shultz; James Doouglas Tracking and credit method and apparatus
US5813326A (en) 1994-12-22 1998-09-29 Pitney Bowes Inc. Mailing machine utilizing ink jet printer
US5814796A (en) 1996-01-31 1998-09-29 Mag-Tek, Inc. Terminal for issuing and processing data-bearing documents
US5836775A (en) 1993-05-13 1998-11-17 Berg Tehnology, Inc. Connector apparatus
US5839730A (en) 1996-05-22 1998-11-24 Shuffle Master, Inc. Consecutive card side bet method
US5845906A (en) 1995-11-09 1998-12-08 Wirth; John E. Method for playing casino poker game
US5851011A (en) 1997-10-31 1998-12-22 Lott; A. W. Multi-deck poker progressive wagering system with multiple winners and including jackpot, bust, and insurance options
US5867586A (en) 1994-06-24 1999-02-02 Angstrom Technologies, Inc. Apparatus and methods for fluorescent imaging and optical character reading
JPH1145321A (en) 1997-07-25 1999-02-16 Takamisawa Cybernetics Co Ltd Card counter
US5879233A (en) 1996-03-29 1999-03-09 Stupero; John R. Duplicate card game
US5883804A (en) 1995-06-14 1999-03-16 Telex Communications, Inc. Modular digital audio system having individualized functional modules
US5892210A (en) 1996-10-10 1999-04-06 Coin Acceptors, Inc. Smart card reader with liquid diverter system
US5890717A (en) 1994-11-09 1999-04-06 Rosewarne; Fenton Interactive probe game
US5919090A (en) 1995-09-14 1999-07-06 Grips Electronic Gmbh Apparatus and method for data gathering in games of chance
US5936222A (en) 1997-10-03 1999-08-10 The Whitaker Corporation Smart card reader having pivoting contacts
US5941769A (en) 1994-11-08 1999-08-24 Order; Michail Gaming equipment for professional use of table games with playing cards and gaming chips, in particular for the game of "black jack"
US5944310A (en) 1995-06-06 1999-08-31 Gaming Products Pty Ltd Card handling apparatus
WO1999043404A1 (en) 1998-02-26 1999-09-02 Smart Shoes, Inc. Card dispensing shoe with scanner apparatus, system and method therefor
US5957776A (en) 1995-08-09 1999-09-28 Table Trac, Inc. Table game control system
USD414527S (en) 1998-04-15 1999-09-28 Shuffle Master, Inc. Device for delivering cards
WO1999052610A1 (en) 1998-04-15 1999-10-21 Shuffle Master, Inc. An apparatus for shuffling cards
WO1999052611A1 (en) 1998-04-15 1999-10-21 Shuffle Master Inc. Device and method for continuously shuffling cards
US5974150A (en) 1997-09-30 1999-10-26 Tracer Detection Technology Corp. System and method for authentication of goods
US5985305A (en) 1996-02-02 1999-11-16 Alza Corporation Sustained delivery of an active agent using an implantable system
US5991308A (en) 1995-08-25 1999-11-23 Terayon Communication Systems, Inc. Lower overhead method for data transmission using ATM and SCDMA over hybrid fiber coax cable plant
US5989122A (en) 1997-01-03 1999-11-23 Casino Concepts, Inc. Apparatus and process for verifying, sorting, and randomizing sets of playing cards and process for playing card games
US6015311A (en) 1996-12-17 2000-01-18 The Whitaker Corporation Contact configuration for smart card reader
US6019374A (en) 1993-02-25 2000-02-01 Shuffle Master, Inc. Multi-tiered wagering method and game
US6050569A (en) 1998-07-10 2000-04-18 Taylor; Elizabeth Method of playing a tile-card game
US6053695A (en) 1997-12-02 2000-04-25 Ite, Inc. Tortilla counter-stacker
US6061449A (en) 1997-10-10 2000-05-09 General Instrument Corporation Secure processor with external memory using block chaining and block re-ordering
US6069564A (en) 1998-09-08 2000-05-30 Hatano; Richard Multi-directional RFID antenna
US6068258A (en) 1994-08-09 2000-05-30 Shuffle Master, Inc. Method and apparatus for automatically cutting and shuffling playing cards
US6071190A (en) 1997-05-21 2000-06-06 Casino Data Systems Gaming device security system: apparatus and method
WO2000051076A1 (en) 1999-02-24 2000-08-31 Dolphin Advanced Technologies Pty. Limited Inspection of playing cards
US6113101A (en) 1995-11-09 2000-09-05 Wirth; John E. Method and apparatus for playing casino poker game
JP2000251031A (en) 1999-03-01 2000-09-14 Nippon Lsi Card Co Ltd Reader/writer for non-contact ic card and inter-stand ball lending machine for pachinko corporating the same
US6126166A (en) 1996-10-28 2000-10-03 Advanced Casino Technologies, Inc. Card-recognition and gaming-control device
US6127447A (en) 1998-07-31 2000-10-03 Fusion Uv Systems, Inc. Photopolymerization process and composition employing a charge transfer complex and cationic photoinitiator
US6131817A (en) 1998-10-09 2000-10-17 Nbs Technologies, Inc. Plastic card transport apparatus and inspection system
USD432588S (en) 1999-08-30 2000-10-24 Shuffle Master, Inc. Card shuffling apparatus
US6154131A (en) 1996-12-11 2000-11-28 Jones, Ii; Griffith Casino table sensor alarms and method of using
US6165069A (en) 1998-03-11 2000-12-26 Digideal Corporation Automated system for playing live casino table games having tabletop changeable playing card displays and monitoring security features
US6165072A (en) 1997-09-02 2000-12-26 Quixotic Solutions Inc. Apparatus and process for verifying honest gaming transactions over a communications network
US6183362B1 (en) 1996-05-24 2001-02-06 Harrah's Operating Co. National customer recognition system and method
US6186895B1 (en) 1997-10-07 2001-02-13 Mikohn Gaming Corporation Intelligent casino chip system and method or use thereof
US6200218B1 (en) 1997-03-27 2001-03-13 John Huxley Limited Gaming chip system
US6210274B1 (en) 1994-12-19 2001-04-03 Rolf E. Carlson Universal gaming engine
US6213310B1 (en) 1997-02-11 2001-04-10 Cash And Change Control Sweden Ab Arrangement for handling banknotes
US6217447B1 (en) 1997-01-31 2001-04-17 Dp Stud, Inc. Method and system for generating displays in relation to the play of baccarat
US6234900B1 (en) 1997-08-22 2001-05-22 Blake Cumbers Player tracking and identification system
US6236223B1 (en) 1998-11-09 2001-05-22 Intermec Ip Corp. Method and apparatus for wireless radio frequency testing of RFID integrated circuits
US6250632B1 (en) 1999-11-23 2001-06-26 James Albrecht Automatic card sorter
US6254002B1 (en) 1996-05-17 2001-07-03 Mark A. Litman Antiforgery security system
US6267648B1 (en) 1998-05-18 2001-07-31 Tokyo Seimitsu Co. Ltd. Apparatus and method for chamfering wafer
US6267671B1 (en) 1999-02-12 2001-07-31 Mikohn Gaming Corporation Game table player comp rating system and method therefor
WO2001056670A1 (en) 2000-02-01 2001-08-09 Angel Co.,Ltd Playing card identifying device
US6293546B1 (en) 1999-09-08 2001-09-25 Casinovations Incorporated Remote controller device for shuffling machine
US6293864B1 (en) 1999-11-03 2001-09-25 Baccarat Plus Enterprises, Inc. Method and assembly for playing a variation of the game of baccarat
US6299534B1 (en) 1993-02-25 2001-10-09 Shuffle Master, Inc. Gaming apparatus with proximity switch
US6299167B1 (en) 1994-04-18 2001-10-09 Randy D. Sines Playing card shuffling machine
US6308886B1 (en) 1996-01-31 2001-10-30 Magtek, Inc. Terminal for issuing and processing data-bearing documents
US20010036231A1 (en) 1999-06-08 2001-11-01 Venkat Easwar Digital camera device providing improved methodology for rapidly taking successive pictures
US20010036866A1 (en) 1999-10-06 2001-11-01 International Game Technology Standard peripheral communications
US6313871B1 (en) 1999-02-19 2001-11-06 Casino Software & Services Apparatus and method for monitoring gambling chips
JP2001327647A (en) 2000-03-16 2001-11-27 Sega Corp Card shuffling device
WO2002005914A1 (en) 2000-07-14 2002-01-24 Smart Shoes, Inc. System including card game dispensing shoe with barrier and scanner, and enhanced card gaming table, enabling waging by remote bettors
US6342830B1 (en) 1998-09-10 2002-01-29 Xerox Corporation Controlled shielding of electronic tags
US6341778B1 (en) 1999-11-29 2002-01-29 John S. Lee Method for playing pointspread blackjack
US6346044B1 (en) 1995-04-11 2002-02-12 Mccrea, Jr. Charles H. Jackpot system for live card games based upon game play wagering and method therefore
US20020017481A1 (en) 1997-03-13 2002-02-14 Shuffle Master, Inc., Collating and sorting apparatus
US20020030425A1 (en) 1998-02-02 2002-03-14 500 Group Inc. Rolling containers assembly
US6361044B1 (en) 2000-02-23 2002-03-26 Lawrence M. Block Card dealer for a table game
US20020045481A1 (en) 1999-04-21 2002-04-18 Mindplay Llc Method and apparatus for monitoring casinos and gaming
US6386973B1 (en) 1999-06-16 2002-05-14 Shuffle Master, Inc. Card revelation system
US20020063389A1 (en) 1994-08-09 2002-05-30 Breeding John G. Card shuffler with sequential card feeding module and method of delivering groups of cards
US20020068635A1 (en) 1995-10-17 2002-06-06 Smart Shoes, Inc. System including card game dispensing shoe with barrier and scanner, and enhanced card gaming table, enabling waging by remote bettors
US6402142B1 (en) 1997-10-14 2002-06-11 David Warren Method for handling of cards in a dealer shoe, and a dealer shoe
JP2002165916A (en) 2000-11-30 2002-06-11 Nippon Bmc:Kk Card game machine
US6403908B2 (en) 1999-02-19 2002-06-11 Bob Stardust Automated method and apparatus for playing card sequencing, with optional defect detection
US20020094869A1 (en) 2000-05-29 2002-07-18 Gabi Harkham Methods and systems of providing real time on-line casino games
US20020107072A1 (en) 2001-02-07 2002-08-08 Giobbi John J. Centralized gaming system with modifiable remote display terminals
US20020107067A1 (en) 2000-01-05 2002-08-08 International Gaming Technology Slot reel controller as a peripheral device
US20020113368A1 (en) 1999-09-08 2002-08-22 Lynn Hessing Remote controlled multiple mode and multi-game card shuffling device
US6446864B1 (en) 1999-01-29 2002-09-10 Jung Ryeol Kim System and method for managing gaming tables in a gaming facility
US6454266B1 (en) 1993-02-25 2002-09-24 Shuffle Master, Inc. Bet withdrawal casino game with wild symbol
US20020135692A1 (en) 1999-01-22 2002-09-26 Nobuhiro Fujinawa Image reading device and storage medium storing control procedure for image reading device
US20020142820A1 (en) 2001-03-09 2002-10-03 Bartlett Lawrence E. System and method for combining playing card values, sight unseen
US20020155869A1 (en) 2001-02-21 2002-10-24 Mindplay Llc Method, apparatus and article for verifying card games, such as playing card distribution
US20020163125A1 (en) 1998-04-15 2002-11-07 Shuffle Master, Inc. Device and method for continuously shuffling and monitoring cards for specialty games
US6490277B1 (en) 2001-06-04 2002-12-03 Adc Telecommunications, Inc. Digital cross-connect system employing patch access locking and redundant supply power
US20020187821A1 (en) 2001-06-08 2002-12-12 Mindplay Llc Method, apparatus and article for random sequence generation and playing card distribution
US20030003997A1 (en) 2001-06-29 2003-01-02 Vt Tech Corp. Intelligent casino management system and method for managing real-time networked interactive gaming systems
US20030007143A1 (en) 1999-02-10 2003-01-09 Litel Instruments In-situ source metrology instrument and method of use
US6508709B1 (en) 1999-06-18 2003-01-21 Jayant S. Karmarkar Virtual distributed multimedia gaming method and system based on actual regulated casino games
US6514140B1 (en) 1999-06-17 2003-02-04 Cias, Inc. System for machine reading and processing information from gaming chips
AU757636B2 (en) 1999-02-24 2003-02-27 Shuffle Master, Inc. Inspection of playing cards
US6532297B1 (en) 1995-10-05 2003-03-11 Digital Biometrics, Inc. Gambling chip recognition system
US20030048476A1 (en) 2001-05-25 2003-03-13 Shinji Yamakawa Image-processing device processing image data by judging a detected and expanded Medium-density field as a non-character edge field
US20030047870A1 (en) 2000-04-12 2003-03-13 Ernst Blaha Card shuffling device
US20030052449A1 (en) 1998-04-15 2003-03-20 Attila Grauzer Device and method for continuously shuffling and monitoring cards
US20030064798A1 (en) 2001-09-28 2003-04-03 Shuffle Master, Inc. Method and apparatus for using upstream communication in a card shuffler
US20030067112A1 (en) 2001-09-28 2003-04-10 Shuffle Master,Inc. Card shuffling apparatus with integral card delivery
US20030071413A1 (en) 2001-10-11 2003-04-17 Card-Casinos Austria R& D-Casinos Austria Forschungs- Und Entwicklungsges, M.B.H. Card shuffler
US20030073498A1 (en) 2001-09-28 2003-04-17 Shuffle Master, Inc. Card shuffling apparatus with automatic card size calibration
US20030075866A1 (en) 2001-10-19 2003-04-24 Card-Casinos Austria R&D-Casinos Austria Forschungs-Und Entwicklungsges, M.B.H. Card shuffler
US6561897B1 (en) 2000-10-17 2003-05-13 Shuffle Master, Inc. Casino poker game table that implements play of a casino table poker game
US6582302B2 (en) 1999-11-03 2003-06-24 Baccarat Plus Enterprises, Inc. Automated baccarat gaming assembly
US6581747B1 (en) 2000-02-15 2003-06-24 Etablissements Bourgogne Et Grasset Token with an electronic chip and methods for manufacturing the same
US6585588B2 (en) 2001-03-22 2003-07-01 Shuffle Master, Inc. Multiple play high card game with insurance bet
US6585856B2 (en) 2001-09-25 2003-07-01 Kimberly-Clark Worldwide, Inc. Method for controlling degree of molding in through-dried tissue products
US6585586B1 (en) 1999-11-03 2003-07-01 Baccarat Plus Enterprises, Inc. Automated baccarat gaming assembly
US20030151194A1 (en) 2002-02-08 2003-08-14 Lynn Hessing Image capturing card shuffler
US6609710B1 (en) 1998-09-15 2003-08-26 Michail Order Device for automatic detection of the number of spots on the top side of a dice for use on a professional basis
US6612928B1 (en) 2001-02-15 2003-09-02 Sierra Design Group Player identification using biometric data in a gaming environment
US6616535B1 (en) 1998-03-09 2003-09-09 Schlumberger Systems IC card system for a game machine
JP2003250950A (en) 2002-02-28 2003-09-09 Danbonetto Systems Kk Card housing box for distribution
US6619662B2 (en) 1999-12-08 2003-09-16 Gold Coin Gaming Inc. Wager sensor and system thereof
US6622185B1 (en) 1999-09-14 2003-09-16 Innovative Gaming Corporation Of America System and method for providing a real-time programmable interface to a general-purpose non-real-time computing system
US6629019B2 (en) 2000-09-18 2003-09-30 Amusement Soft, Llc Activity management system
US6626757B2 (en) 2001-05-21 2003-09-30 R. Martin Oliveras Poker playing system using real cards and electronic chips
US6629591B1 (en) 2001-01-12 2003-10-07 Igt Smart token
US20030195025A1 (en) 1995-10-17 2003-10-16 Hill Otho Dale System including card game dispensing shoe and method
US6637622B1 (en) 2000-12-18 2003-10-28 Joseph D. Robinson Card dispenser apparatus and protective guard therefor
US6645077B2 (en) 2000-10-19 2003-11-11 Igt Gaming terminal data repository and information distribution system
US6645068B1 (en) 1996-11-14 2003-11-11 Arcade Planet, Inc. Profile-driven network gaming and prize redemption system
US6651985B2 (en) 1998-03-11 2003-11-25 Digideal Corporation Automated system for playing live casino table games having tabletop changeable playing card displays and play monitoring security features
US6652379B2 (en) 2001-01-04 2003-11-25 Mindplay Llc Method, apparatus and article for verifying card games, such as blackjack
US6655690B1 (en) 2002-08-09 2003-12-02 Anthony Oskwarek Method for playing a casino card game
US6655684B2 (en) 1998-04-15 2003-12-02 Shuffle Master, Inc. Device and method for forming and delivering hands from randomly arranged decks of playing cards
US6658135B1 (en) 1998-11-13 2003-12-02 Hitachi, Ltd. Recording device
US6659461B2 (en) 1999-09-13 2003-12-09 Shuffle Master, Inc. Method of playing a table card game with an electronic multiplier bonus feature and apparatus for playing the game
US6659875B2 (en) 2000-07-13 2003-12-09 Dolphin Advanced Technologies Pty Ltd. Identification token
US6666768B1 (en) 2001-03-06 2003-12-23 David J. Akers System and method for tracking game of chance proceeds
US6671358B1 (en) 2001-04-25 2003-12-30 Universal Identity Technologies, Inc. Method and system for rewarding use of a universal identifier, and/or conducting a financial transaction
US6676517B2 (en) 2000-08-04 2004-01-13 Anthony Beavers System and method of data handling for table games
US6680843B2 (en) 2001-09-28 2004-01-20 International Business Machines Corporation All-in-one personal computer with tool-less quick-release features for various elements thereof including a reusable thin film transistor monitor
US20040015423A1 (en) 2002-04-19 2004-01-22 Walker Jay S. Method and apparatus for managing performance of multiple games
US6685568B2 (en) 2001-02-21 2004-02-03 Mindplay Llc Method, apparatus and article for evaluating card games, such as blackjack
US6685567B2 (en) 2001-08-08 2004-02-03 Igt Process verification
US6690673B1 (en) 1999-05-27 2004-02-10 Jeffeerson J. Jarvis Method and apparatus for a biometric transponder based activity management system
US6688597B2 (en) 2000-03-15 2004-02-10 Mark Hamilton Jones Casino style game of chance apparatus
US20040036214A1 (en) 2002-08-23 2004-02-26 Thompson Baker Automatic card shuffler
US6698759B2 (en) 1995-07-19 2004-03-02 Shuffle Master, Inc. Player banked three card poker and associated games
US6702290B2 (en) 2000-07-10 2004-03-09 Blas Buono-Correa Spanish match table and related methods of play
US6702289B1 (en) 2002-10-08 2004-03-09 New Vision Gaming And Development, Inc. Pai Gow poker-type card game of chance using a random number generator with a side bet
US6709333B1 (en) 2001-06-20 2004-03-23 Sierra Design Group Player identification using biometric data in a gaming environment
US20040067789A1 (en) 2001-09-28 2004-04-08 Shuffle Master, Inc. Card shuffler with card rank and value reading capability
US6719634B2 (en) 1998-08-26 2004-04-13 Hitachi, Ltd. IC card, terminal device and service management server
US6726205B1 (en) 2000-08-15 2004-04-27 Vendingdata Corporation Inspection of playing cards
US6732067B1 (en) 1999-05-12 2004-05-04 Unisys Corporation System and adapter card for remote console emulation
US6733388B2 (en) 1999-03-12 2004-05-11 Grips Electronics Ges.M.B.H Patron and croupier assessment in roulette
US6733012B2 (en) 2001-08-16 2004-05-11 Hong Bui Method of playing a card game with multiple wager options
US20040100026A1 (en) 2002-11-27 2004-05-27 Emmitt Haggard Blackjack playing card system
US6746333B1 (en) 1998-07-22 2004-06-08 Namco Ltd. Game system, game machine and game data distribution device, together with computer-usable information for accessing associated data of a game over a network
US6747560B2 (en) 2002-06-27 2004-06-08 Ncr Corporation System and method of detecting movement of an item
US20040116179A1 (en) 2002-09-18 2004-06-17 Nicely Mark C. Interactive streak game
US6758757B2 (en) 2000-12-20 2004-07-06 Sierra Design Group Method and apparatus for maintaining game state
US6769693B2 (en) 2001-07-26 2004-08-03 B.C.D. Mécanique Ltée Method and system for playing a casino game
US6774782B2 (en) 2001-04-27 2004-08-10 Battelle Memorial Institute Radio frequency personnel alerting security system and method
WO2004067889A1 (en) 2003-01-28 2004-08-12 Rationel Vinduer A/S Relief fitting and hinge set with relief fitting
US6789801B2 (en) 2002-12-04 2004-09-14 Shuffle Master, Inc. Baccarat side wager game
US6804763B1 (en) 2000-10-17 2004-10-12 Igt High performance battery backed ram interface
US6802510B1 (en) 2003-02-28 2004-10-12 Jose Cherem Haber Card game
US6808173B2 (en) 2002-10-15 2004-10-26 Shuffle Master, Inc. Blackjack game with side wager on displayed cards
US20040224777A1 (en) 2001-09-28 2004-11-11 Shuffle Master, Inc. Card shuffler with reading capability integrated into multiplayer automated gaming table
US6827282B2 (en) 1997-03-16 2004-12-07 Silverbrook Research Pty Ltd Identifying card
US6834251B1 (en) 2001-12-06 2004-12-21 Richard Fletcher Methods and devices for identifying, sensing and tracking objects over a surface
US20040259618A1 (en) 2001-12-13 2004-12-23 Arl, Inc. Method, apparatus and article for random sequence generation and playing card distribution
WO2004112923A1 (en) 2003-06-26 2004-12-29 Tangam Gaming Technology Inc. System, apparatus and method for automatically tracking a table game
US6840517B2 (en) 2002-10-21 2005-01-11 Roger M. Snow Poker game with bonus payouts
US6842263B1 (en) 1998-10-09 2005-01-11 Ricoh Company, Ltd Print system and printer device facilitating reuse of print data
US6843725B2 (en) 2002-02-06 2005-01-18 Igt Method and apparatus for monitoring or controlling a gaming machine based on gaming machine location
US20050012671A1 (en) 2001-11-26 2005-01-20 Martin Bisig Vhf wave receiver antenna housed in a wristband of a portable electronic device
US6848616B2 (en) 2003-03-11 2005-02-01 Zih Corp., A Delaware Corporation With Its Principal Office In Hamilton, Bermuda System and method for selective communication with RFID transponders
US6848844B2 (en) 2000-04-28 2005-02-01 Hewlett-Packard Development Company, L.P. Greeting card feeder module for inkjet printing
US6848994B1 (en) 2000-01-17 2005-02-01 Genesis Gaming Solutions, Inc. Automated wagering recognition system
EP1502631A1 (en) 1999-04-21 2005-02-02 Bally Gaming International, Inc. Card deck reader
US20050035548A1 (en) 2002-10-15 2005-02-17 Shuffle Master, Inc. Interactive simulated blackjack game with side bet apparatus and in method
US20050037843A1 (en) 2003-08-11 2005-02-17 William Wells Three-dimensional image display for a gaming apparatus
US6857961B2 (en) 2001-02-21 2005-02-22 Bally Gaming International, Inc. Method, apparatus and article for evaluating card games, such as blackjack
US20050040594A1 (en) 2003-08-19 2005-02-24 Peter Krenn Pre-shuffler for a playing card shuffling machine
US20050051955A1 (en) 2003-07-17 2005-03-10 Shuffle Master, Inc. Intelligent baccarat shoe
US20050062228A1 (en) 1998-04-15 2005-03-24 Attila Grauzer Device and method for continuously shuffling and monitoring cards
US20050062227A1 (en) 2003-07-17 2005-03-24 Shuffle Master, Inc. Intelligent Baccarat shoe
US6874784B1 (en) 2003-03-07 2005-04-05 Rocco R. Promutico Method for playing a card game
US6874786B2 (en) 2003-07-17 2005-04-05 Shuffle Master, Inc. Blackjack game with side wager on displayed cards
US6877748B1 (en) 2002-11-25 2005-04-12 Anthony F. Patroni Method for playing modified blackjack with poker option
US6877657B2 (en) 2002-06-28 2005-04-12 First Data Corporation Methods and systems for production of transaction cards
US20050082750A1 (en) 2001-09-28 2005-04-21 Shuffle Master, Inc. Round of play counting in playing card shuffling system
US6893347B1 (en) 1999-07-09 2005-05-17 Nokia Corporation Method and apparatus for playing games between the clients of entities at different locations
US20050104290A1 (en) 2001-09-28 2005-05-19 Shuffle Master, Inc. Multiple mode card shuffler and card reading device
US20050113166A1 (en) 2003-07-17 2005-05-26 Shuffle Master, Inc. Discard rack with card reader for playing cards
US20050110210A1 (en) 2003-10-08 2005-05-26 Arl, Inc. Method, apparatus and article for computational sequence generation and playing card distribution
US20050113171A1 (en) 2003-09-11 2005-05-26 Hodgson Lawrence J. Games with wireless communications capabilities
US6899628B2 (en) 2001-07-13 2005-05-31 Game Account Limited System and method for providing game event management to a user of a gaming application
US6902167B2 (en) 1995-07-19 2005-06-07 Prime Table Games Llc Method and apparatus for playing blackjack with a 3- or 5-card numerical side wager (“21+3/5 numerical”)
US6905121B1 (en) 2003-02-10 2005-06-14 Mike Timpano Apparatus and method for selectively permitting and restricting play in a card game
US20050137005A1 (en) 2003-09-05 2005-06-23 Bally Gaming International, Inc. Systems, methods, and devices for monitoring card games, such as Baccarat
US20050140090A1 (en) 1994-08-09 2005-06-30 Shuffle Master, Inc. Card shuffler with jam recovery and display
US20050148391A1 (en) 2004-01-02 2005-07-07 Tain Liu G. Poker dealing device incorporated with digital recorder system
JP2005198668A (en) 2002-01-21 2005-07-28 Matsui Gaming Machine:Kk Card shuffling apparatus
US6923446B2 (en) 2002-10-31 2005-08-02 Shuffle Master, Inc. Wagering game with table bonus
US20050192092A1 (en) 2001-09-28 2005-09-01 Igt Decoupling of the graphical presentation of a game from the presentation logic
US6938900B2 (en) 2002-11-12 2005-09-06 Shuffle Master, Inc. Method of playing a poker-type wagering game with multiple betting options
US6941180B1 (en) 1998-08-27 2005-09-06 Addison M. Fischer Audio cassette emulator
US6950948B2 (en) 2000-03-24 2005-09-27 Votehere, Inc. Verifiable, secret shuffles of encrypted data, such as elgamal encrypted data for secure multi-authority elections
US6957746B2 (en) 2002-02-15 2005-10-25 Coinstar, Inc. Apparatuses and methods for dispensing magnetic cards, integrated circuit cards, and other similar items
US6960134B2 (en) 2002-09-12 2005-11-01 Igt Alternative bonus games associated with slot machine
US6959935B2 (en) 2002-05-02 2005-11-01 ZF Lemförder Metallwaren AG Steering triangle
US20050242500A1 (en) 2003-07-17 2005-11-03 Shuffle Master, Inc. Unique sensing system and method for reading playing cards
US20050272501A1 (en) 2004-05-07 2005-12-08 Louis Tran Automated game monitoring
US20050288086A1 (en) 2004-06-28 2005-12-29 Shuffle Master, Inc. Hand count methods and systems for casino table games
US20050288083A1 (en) 2004-06-28 2005-12-29 Shuffle Master, Inc. Distributed intelligent data collection system for casino table games
US6986514B2 (en) 2003-08-22 2006-01-17 Shuffle Master, Inc. Poker game played against multiple dealer hands
US6988516B2 (en) 2001-08-29 2006-01-24 N.V. Michel Van De Wiele Device for driving and guiding a rapier of a weaving machine
US20060027970A1 (en) 2002-11-26 2006-02-09 Kyrychenko Olexandr I Gaming equipment for table games using playing cards and tokens, in particular for black jack
US20060033270A1 (en) 2003-07-17 2006-02-16 Attila Grauzer Playing card dealing shoe with automated internal card feeding and card reading
US20060046853A1 (en) 2004-09-01 2006-03-02 Black Gerald R Off-site casino play
US20060063577A1 (en) 2003-07-17 2006-03-23 Shuffle Master, Inc. System for monitoring the game of baccarat
WO2006031472A2 (en) 2004-09-14 2006-03-23 Shuffle Master, Inc. Magnetic jam detection in a card shuffler
US7020307B2 (en) 2002-02-15 2006-03-28 Inco Limited Rock fragmentation analysis system
US7028598B2 (en) 2002-03-22 2006-04-18 Kabushiki Kaisha Tokyo Kikai Seisakusho Apparatus for longitudinally perforating a web of paper in a rotary printing press
US7046764B1 (en) 2004-10-04 2006-05-16 General Electric Company X-ray detector having an accelerometer
US7046458B2 (en) 2004-03-31 2006-05-16 Fujinon Corporation Fisheye lens and imaging device using it
US7048629B2 (en) 1998-03-11 2006-05-23 Digideal Corporation Automated system for playing casino games having changeable displays and play monitoring security features
US7068822B2 (en) 1999-08-09 2006-06-27 Cross Match Technologies, Inc. System and method for sending a packet with position address and line scan data over an interface cable
US7084769B2 (en) 2002-01-09 2006-08-01 Vue Technology, Inc. Intelligent station using multiple RF antennae and inventory control system and method incorporating same
US7089420B1 (en) 2000-05-24 2006-08-08 Tracer Detection Technology Corp. Authentication method and system
US20060183540A1 (en) 2005-02-15 2006-08-17 Shuffle Master, Inc. Casino table gaming system with round counting system
US20060181022A1 (en) 2005-02-14 2006-08-17 Shuffle Master, Inc. Playing card shuffler with differential hand count capability
US20060189381A1 (en) 2002-12-04 2006-08-24 Daniel David A Collusion detection and control
US7106201B2 (en) 1997-08-20 2006-09-12 Micron Technology, Inc. Communication devices, remote intelligent communication devices, electronic communication devices, methods of forming remote intelligent communication devices and methods of forming a radio frequency identification device
US20060205508A1 (en) 2005-03-14 2006-09-14 Original Deal, Inc. On-line table gaming with physical game objects
US7113094B2 (en) 1998-08-14 2006-09-26 3M Innovative Properties Company Applications for radio frequency identification systems
US7114718B2 (en) 2003-07-17 2006-10-03 Shuffle Master, Inc. Smart table card hand identification method and apparatus
US20060220312A1 (en) 2002-08-23 2006-10-05 Thompson Baker Automatic card shuffler
EP1713026A1 (en) 2005-03-29 2006-10-18 Aruze Corp. Game card
US7128652B1 (en) 2000-10-13 2006-10-31 Oneida Indian Nation System, method, and article of manufacture for gaming from an off-site location
US20060252521A1 (en) 2005-05-03 2006-11-09 Tangam Technologies Inc. Table game tracking
US20060252554A1 (en) 2005-05-03 2006-11-09 Tangam Technologies Inc. Gaming object position analysis and tracking
US7139108B2 (en) 2000-07-20 2006-11-21 Hewlett-Packard Development Company, L.P. Single automatic document feeder sensor for media leading edge and top cover being opened detection
US7140614B2 (en) 2003-09-09 2006-11-28 Shuffle Master, Inc. Poker game with required dealer discard
US20060281534A1 (en) 2001-09-28 2006-12-14 Shuffle Master, Inc. Card shuffling apparatus with automatic card size calibration during shuffling
CA2612138A1 (en) 2005-06-13 2006-12-28 Shuffle Master, Inc. Manual dealing shoe with card feed limiter
US20070001395A1 (en) 2005-07-01 2007-01-04 Gioia Systems, Llc Card scrambling device
US7162035B1 (en) 2000-05-24 2007-01-09 Tracer Detection Technology Corp. Authentication method and system
US20070006708A1 (en) 2003-09-09 2007-01-11 Igt Gaming device which dynamically modifies background music based on play session events
US20070015583A1 (en) 2005-05-19 2007-01-18 Louis Tran Remote gaming with live table games
US7165769B2 (en) 2003-08-15 2007-01-23 The Pala Band Of Mission Indians Systems and methods for card games that simulate non-card casino table games
US7165770B2 (en) 1994-07-22 2007-01-23 Shuffle Master, Inc. Poker game with dealer disqualifying hand
US20070018389A1 (en) 2005-06-13 2007-01-25 Shuffle Master, Inc. Card reading system employing CMOS reader
US7175522B2 (en) 2001-03-22 2007-02-13 Shuffle Master, Inc. Combination wagering game
US20070045959A1 (en) 2005-08-31 2007-03-01 Bally Gaming, Inc. Gaming table having an inductive interface and/or a point optical encoder
US7186181B2 (en) 2001-02-02 2007-03-06 Igt Wide area program distribution and game information communication system
US20070057469A1 (en) 2005-09-09 2007-03-15 Shuffle Master, Inc. Gaming table activity sensing and communication matrix
US20070066387A1 (en) 2005-09-16 2007-03-22 Aruze Corp. Multi-player gaming machine
US20070069462A1 (en) 2005-06-13 2007-03-29 Shuffle Master, Inc. Card shuffler with card rank and value reading capability using CMOS sensor
US20070072677A1 (en) 2000-10-13 2007-03-29 Lavoie James R Systems and methods for gaming from an off-site location
US7201656B2 (en) 2001-07-23 2007-04-10 California Indian Legal Services Method and apparatus for simulating games of chance with the use of a set of cards, including a wildcard, to replace use of dice
US7203841B2 (en) 2001-03-08 2007-04-10 Igt Encryption in a secure computerized gaming system
US7202888B2 (en) 2002-11-19 2007-04-10 Hewlett-Packard Development Company, L.P. Electronic imaging device resolution enhancement
US20070102879A1 (en) 2001-09-28 2007-05-10 Shuffle Master, Inc. Shuffler with shuffling completion indicator
US20070111773A1 (en) 2005-11-15 2007-05-17 Tangam Technologies Inc. Automated tracking of playing cards
US7222852B2 (en) 2002-02-06 2007-05-29 Ball Gaming International, Inc. Method, apparatus and article employing multiple machine-readable indicia on playing cards
US7222855B2 (en) 2004-09-24 2007-05-29 Nicholas Sorge Poker blackjack game
US7231812B1 (en) 2005-10-27 2007-06-19 Lagare Michael E Conduit breach location detector
US7237969B2 (en) 2005-10-05 2007-07-03 Xerox Corporation Dual output tray
US7243148B2 (en) 2002-01-15 2007-07-10 Mcafee, Inc. System and method for network vulnerability detection and reporting
US7243698B2 (en) 2005-01-10 2007-07-17 Ita, Inc. Pleated shade with sewn in pleats
US7246799B2 (en) 1993-02-25 2007-07-24 Shuffle Master, Inc. Method of playing a poker-type wagering game with multiple betting options
US20070184905A1 (en) 2003-09-04 2007-08-09 Cyberview Technology, Inc. Universal game server
US7257630B2 (en) 2002-01-15 2007-08-14 Mcafee, Inc. System and method for network vulnerability detection and reporting
US20070197294A1 (en) 2003-09-12 2007-08-23 Gong Xiaoqiang D Communications interface for a gaming machine
US20070202941A1 (en) 2006-02-24 2007-08-30 Igt Internet remote game server
US7264241B2 (en) 2003-07-17 2007-09-04 Shuffle Master, Inc. Intelligent baccarat shoe
US7264243B2 (en) 1994-07-22 2007-09-04 Shuffle Master, Inc Six-card poker game
US20070225055A1 (en) 2006-03-21 2007-09-27 Neal Weisman Playing card identification system & method
US20070222147A1 (en) 2006-03-24 2007-09-27 Shuffle Master, Inc. Card shuffler with gravity feed system for playing cards
US7277570B2 (en) 2003-09-15 2007-10-02 Itt Manufacturing Enterprises, Inc. Method and apparatus for witness card statistical analysis using image processing techniques
US20070233567A1 (en) 2006-03-03 2007-10-04 Geoff Daly System and Method for Controlled Dispensing and Marketing of Potable Liquids
US7278923B2 (en) 2003-07-17 2007-10-09 Shuffle Master, Inc. Smart discard rack for playing cards
US20070238506A1 (en) 2006-04-11 2007-10-11 Ruckle Clyde A Method and apparatus for card printing
US20070259709A1 (en) 2005-09-07 2007-11-08 Kelly Bryan M System gaming
US7294056B2 (en) 2002-12-23 2007-11-13 Gametech International, Inc. Enhanced gaming system
US7297062B2 (en) 2001-11-23 2007-11-20 Cyberview Technology, Inc. Modular entertainment and gaming systems configured to consume and provide network services
US7303473B2 (en) 2002-02-25 2007-12-04 Igt Network gaming system
US20070278739A1 (en) 2006-05-31 2007-12-06 Shuffle Master, Inc. Card weight for gravity feed input for playing card shuffler
US7309065B2 (en) 2002-12-04 2007-12-18 Shuffle Master, Inc. Interactive simulated baccarat side bet apparatus and method
US7316609B2 (en) 2003-09-15 2008-01-08 Shuffle Master, Inc. Reveal-hide-pick-reveal video wagering game feature
WO2008005286A2 (en) 2006-07-05 2008-01-10 Shuffle Master, Inc. Card shuffler with adjacent card infeed and card output compartments
US20080006998A1 (en) 2006-07-05 2008-01-10 Attila Grauzer Card handling devices and methods of using the same
WO2008006023A2 (en) 2006-07-07 2008-01-10 Elixir Gaming Technologies, Inc. Device for sorting playing cards and method of use
US20080022415A1 (en) 2006-06-20 2008-01-24 Yu-Chiun Kuo Authority limit management method
US20080039208A1 (en) 2006-07-31 2008-02-14 Ulf Abrink Information updating management in a gaming system
US20080039192A1 (en) 2006-07-26 2008-02-14 Steven Laut System and method for personal wagering
CN101127131A (en) 2006-08-16 2008-02-20 盛年 Mobile type card-scanning device and ground type card-scanning device
US7338362B1 (en) 2003-07-25 2008-03-04 Gallagher Thomas B Card game
US7360094B2 (en) 2001-03-24 2008-04-15 Demoxi, Inc. Verifiable secret shuffles and their application to electronic voting
US7357321B2 (en) 1999-12-03 2008-04-15 Sega Corporation Card stack reader, card thereof, card case, method for manufacturing card, game machine using the same, computer-readable storage medium on which game program is recorded
US20080096656A1 (en) 2001-09-28 2008-04-24 Igt Game development architecture that decouples the game logic from the graphics logic
US7367563B2 (en) 1993-02-25 2008-05-06 Shuffle Master, Inc. Interactive simulated stud poker apparatus and method
US7367884B2 (en) 1993-02-25 2008-05-06 Shuffle Master, Inc. Photoelectric gaming token sensing apparatus with flush mounted gaming token supporter
US20080111300A1 (en) 2006-11-10 2008-05-15 Zbigniew Czyzewski Casino card shoes, systems, and methods for a no peek feature
US20080113700A1 (en) 2001-09-28 2008-05-15 Zbigniew Czyzewski Methods and apparatuses for an automatic card handling device and communication networks including same
US20080113783A1 (en) 2006-11-10 2008-05-15 Zbigniew Czyzewski Casino table game monitoring system
US20080136108A1 (en) 2006-08-21 2008-06-12 Andrew Polay Modular gaming table
US7387300B2 (en) 1994-07-22 2008-06-17 Shuffle Master, Inc. Player-banked four card poker game
US20080143048A1 (en) 2004-03-19 2008-06-19 Yasushi Shigeta Card shooter apparatus
US7389990B2 (en) 2006-01-06 2008-06-24 Raphael Mourad Method of playing a card game involving a dealer
US7399226B2 (en) 2002-09-12 2008-07-15 Igt Matching symbol game associated with slot machine
US20080176627A1 (en) 2003-07-28 2008-07-24 Igt Methods and apparatus for remote gaming
WO2008091809A2 (en) 2007-01-23 2008-07-31 Jeffrey Alan Miller Method and system for tracking card play
US7407438B2 (en) 2003-07-17 2008-08-05 Shuffle Master, Inc Modular dealing shoe for casino table card games
US20080234047A1 (en) 2007-03-21 2008-09-25 Igt Wager game license management in a game table
US20080234046A1 (en) 2007-03-19 2008-09-25 Igt Centralized licensing services
US20080248875A1 (en) 2005-07-18 2008-10-09 Beatty John A Data Warehouse for Distributed Gaming Systems
US7436957B1 (en) 1998-08-27 2008-10-14 Fischer Addison M Audio cassette emulator with cryptographic media distribution control
JP2008246061A (en) 2007-03-30 2008-10-16 Samii Kk System for processing fraudulent putout of token, method for processing fraudulent putout of token and game machine
CN201139926Y (en) 2007-12-01 2008-10-29 谭钜坤 Full-automatic shuffling and dealing apparatus
US7448626B2 (en) 2006-05-23 2008-11-11 Bally Gaming, Inc. Systems, methods and articles to facilitate playing card games
US20080284096A1 (en) 2006-02-21 2008-11-20 Hirohide Toyama Apparatus and method for automatically shuffling cards
US7458582B2 (en) 2003-08-07 2008-12-02 Shuffle Master, Inc. 6-5-4 casino table poker game
US20080303210A1 (en) 2007-06-06 2008-12-11 Attila Grauzer Apparatus, system, method, and computer-readable medium for casino card handling with multiple hand recall feature
US7464932B2 (en) 2005-11-02 2008-12-16 Richard Darling Shuffler device for game pieces
US7464934B2 (en) 2003-03-10 2008-12-16 Andrew Schwartz Method of playing game
US20080315517A1 (en) 2007-05-24 2008-12-25 Hirohide Toyama Card shuffling device and method
US7472906B2 (en) 2005-01-18 2009-01-06 Moti Shai Automatic card shuffler and dealer
US20090048026A1 (en) 2007-08-14 2009-02-19 French John B Smart card holder for automated gaming system and gaming cards
US7500672B2 (en) 2007-02-15 2009-03-10 Taiwan Fulgent Enterprise Co., Ltd. Automatic shuffling and dealing machine
US20090072477A1 (en) 2007-09-13 2009-03-19 Kuo-Lung Tseng Automatic card shuffler
US7506874B2 (en) 2006-07-17 2009-03-24 Shuffle Master, Inc Blackjack game with press wager
US7510478B2 (en) 2003-09-11 2009-03-31 Igt Gaming apparatus software employing a script file
US7510186B2 (en) 2006-05-23 2009-03-31 Bally Gaming, Inc. Systems, methods and articles to facilitate delivery of playing cards
US7510190B2 (en) 1993-02-25 2009-03-31 Shuffle Master, Inc. High-low poker wagering games
US7510194B2 (en) 2004-06-30 2009-03-31 Bally Gaming, Inc. Playing cards with separable components
US7515718B2 (en) 2000-12-07 2009-04-07 Igt Secured virtual network in a gaming environment
US7513437B2 (en) 2004-01-15 2009-04-07 Douglas Joel S Security marking and security mark
US20090100409A1 (en) 2007-10-12 2009-04-16 E-Synergies.Com Pty Ltd Game Design Tool
US20090104963A1 (en) 2007-10-22 2009-04-23 Kevin Burman Laser lot generator
US7525510B2 (en) 2004-08-20 2009-04-28 Wynn Resorts Holdings, Llc Display and method of operation
US7523937B2 (en) 2006-04-18 2009-04-28 Bally Gaming, Inc. Device for use in playing card handling system
US20090121429A1 (en) 2007-11-09 2009-05-14 Shuffle Master, Inc. Card delivery shoe and methods of fabricating the card delivery shoe
US20090140492A1 (en) 2004-10-04 2009-06-04 Yoseloff Mark L Card reading shoe with card stop feature and systems utilizing the same
US7549643B2 (en) 2005-11-10 2009-06-23 Binh Quach Playing card system
US7554753B2 (en) 2005-12-02 2009-06-30 Nikon Corporation Fish-eye lens and imaging device
US20090166970A1 (en) 2007-12-28 2009-07-02 Rosh Melvin S Card Shuffler and dealer
US20090176547A1 (en) 2007-07-03 2009-07-09 Katz Marcus A Card Game Interface
US20090179378A1 (en) 2008-01-10 2009-07-16 Lee Amaitis Card game with counting
US20090186676A1 (en) 2008-01-17 2009-07-23 Lee Amaitis Game with interim betting
US20090189346A1 (en) 2000-04-12 2009-07-30 Peter Krenn Swivel mounted card handing device
US20090191933A1 (en) 2007-08-14 2009-07-30 French John B Table with sensors and smart card holder for automated gaming system and gaming cards
US20090197662A1 (en) 2004-01-27 2009-08-06 Wright Robert J Method and apparatus for providing an instant lottery game and a supplemental game
US20090194988A1 (en) 2004-01-27 2009-08-06 Wright Robert J Method and apparatus for providing a scratch-off lottery game
US7578506B2 (en) 2006-05-10 2009-08-25 Larry Lambert Three card blackjack
US7584966B2 (en) 2002-05-20 2009-09-08 Shuffle Master, Inc Four card poker and associated games
US20090227318A1 (en) 2004-01-27 2009-09-10 Wright Robert J Method and apparatus for providing an instant lottery game with an ordered assortment
US20090227360A1 (en) 2005-07-01 2009-09-10 Gioia Systems, Llc Resequencing and validation of playing instruments
US20090224476A1 (en) 2004-10-04 2009-09-10 Attila Grauzer Card reading shoe with inventory correction feature and methods of correcting inventory
US7591728B2 (en) 2005-07-01 2009-09-22 Gioia Systems, Llc Online gaming system configured for remote user interaction
US20090253503A1 (en) 1998-03-11 2009-10-08 David A Krise Electronic game system with player-controllable security for display images
US20090253478A1 (en) 2008-04-04 2009-10-08 Walker Jay S Group session play
US20090250873A1 (en) 2008-04-02 2009-10-08 Inag, Inc. Method for playing a game similar to craps
US20090267296A1 (en) 2008-04-23 2009-10-29 Cai-Shiang Ho Automatic Shuffling Machine
US20090283969A1 (en) 2008-05-15 2009-11-19 Tzu-Hsiang Tseng Automatic poker shuffling machine
US20090298577A1 (en) 2006-02-07 2009-12-03 Wms Gaming Inc. Wager gaming network with wireless hotspots
US20090302537A1 (en) 2008-06-05 2009-12-10 Taiwan Fulgent Enterprise Co., Ltd. Shuffling machine with a detaching assembly for card input and output
US20090302535A1 (en) 2008-06-05 2009-12-10 Taiwan Fulgent Enterprise Co., Ltd. Multiple-inlet shuffling machine
US20090312093A1 (en) 2002-10-09 2009-12-17 Walker Jay S Method and apparatus for authenticating data relating to usage of a gaming device
US20090314188A1 (en) 2008-06-23 2009-12-24 Hirohide Toyama Flush mounting for card shuffler
WO2010001032A1 (en) 2008-06-11 2010-01-07 Prismaflex International Textile complex, communicating panel and method of displaying the textile complex
US7644923B1 (en) 2002-08-23 2010-01-12 Shuffle Master, Inc. Automatic card shuffler with dynamic de-doubler
US20100013152A1 (en) 2006-05-03 2010-01-21 Attila Grauzer Ergonomic Card Delivery Shoe
US20100038849A1 (en) 2008-08-15 2010-02-18 Scheper Paul K Intelligent automatic shoe and cartridge
US7666090B2 (en) 2005-01-25 2010-02-23 Igt Method of leasing a gaming machine for a percentage of a net win amount
US20100048304A1 (en) 2008-08-22 2010-02-25 Aristocrat Technologies Australia Pty Limited Network interface, gaming system and gaming device
US7669853B2 (en) 2005-08-29 2010-03-02 Inag, Inc. Card shuffling machine
US20100069155A1 (en) 2008-09-17 2010-03-18 LPP Enterprises, LLC Interactive gaming system via a global network and methods thereof
WO2010055328A1 (en) 2008-11-12 2010-05-20 Xtale Limited Dealing apparatus and gaming system
US7740244B2 (en) 2008-06-05 2010-06-22 Taiwan Fulgent Enterprise Co., Ltd. Card cartridge for a shuffling machine
US7744452B2 (en) 2001-10-11 2010-06-29 Waterleaf Limited Concurrent gaming apparatus and method
US20100178987A1 (en) 2007-06-29 2010-07-15 Wms Gaming Inc. Sourcing of electronic wagering games accessed through unaffiliated hosts
US7762554B2 (en) 2008-10-03 2010-07-27 Taiwan Fulgent Enterprise Co., Ltd. Card output device for shuffling machine
US7766333B1 (en) 2007-01-22 2010-08-03 Bob Stardust Method and apparatus for shuffling and ordering playing cards
US7769853B2 (en) 2007-06-12 2010-08-03 International Business Machines Corporation Method for automatic discovery of a transaction gateway daemon of specified type
US7780529B2 (en) 2001-04-04 2010-08-24 Igt System, method and interface for monitoring player game play in real time
US20100234110A1 (en) 2009-03-10 2010-09-16 Gavin Clarkson Remote Internet Access to Certain Gaming Operations
US20100240440A1 (en) 2009-03-18 2010-09-23 Walter Szrek Secure Provisioning of Random Numbers to Remote Clients
US7804982B2 (en) 2002-11-26 2010-09-28 L-1 Secure Credentialing, Inc. Systems and methods for managing and detecting fraud in image databases used with identification documents
US20100244382A1 (en) 2008-07-15 2010-09-30 Snow Roger M Automated house way indicator and commission indicator
US20100252992A1 (en) 2009-04-07 2010-10-07 Sines Randy D Playing card shuffler
US20100255899A1 (en) 2009-04-03 2010-10-07 Igt Methods and apparatus for providing for disposition of promotional offers in a wagering environment
US7846020B2 (en) 2005-12-02 2010-12-07 Walker Digital, Llc Problem gambling detection in tabletop games
US20100311493A1 (en) 2009-06-08 2010-12-09 Miller Mark A Interprocess communication regarding movement of game devices
US20100311494A1 (en) 2009-06-08 2010-12-09 Miller Mark A Amusement device including means for processing electronic data in play of a game of chance
US20110012303A1 (en) 2009-07-14 2011-01-20 Fairplay, Inc. Shuffler for playing cards
US20110024981A1 (en) 2009-07-28 2011-02-03 Tzu-Hsiang Tseng Automatic playing card dispensing system
US7890365B2 (en) 2005-01-25 2011-02-15 Igt Method of leasing a gaming machine for a flat fee amount
US20110052049A1 (en) 2009-08-26 2011-03-03 Bally Gaming, Inc. Apparatus, method and article for evaluating a stack of objects in an image
US7900923B2 (en) 2006-02-21 2011-03-08 Shuffle Tech International Llc Apparatus and method for automatically shuffling cards
US7908169B2 (en) 2005-01-25 2011-03-15 Igt Method of leasing a gaming machine for a percentage of a total coin-in amount
US20110062662A1 (en) 2008-11-27 2011-03-17 Nidec Sankyo Corporation Card issuing device
US20110078096A1 (en) 2009-09-25 2011-03-31 Bounds Barry B Cut card advertising
US20110105208A1 (en) 2009-10-30 2011-05-05 Igt Managed On-Line Poker Tournaments
US20110109042A1 (en) 2006-05-31 2011-05-12 Rynda Robert J Automatic system and methods for accurate card handling
US20110130190A1 (en) 2002-12-02 2011-06-02 Hamman Robert D Authentication of Game Results
US20110130185A1 (en) 2008-04-09 2011-06-02 Igt System and method for card shoe security at a table game
US20110159952A1 (en) 2001-02-06 2011-06-30 NexRf Corporation Gaming system network and method for delivering gaming media
US20110172008A1 (en) 2006-11-15 2011-07-14 Alderucci Dean P Verifying a gaming device is in communications with a gaming server by passing an indicator between the gaming device and a verification device
US20110183748A1 (en) 2005-07-20 2011-07-28 Wms Gaming Inc. Wagering game with encryption and authentication
US7995196B1 (en) 2008-04-23 2011-08-09 Tracer Detection Technology Corp. Authentication method and system
US20110230268A1 (en) 2010-03-22 2011-09-22 Igt Communication methods for networked gaming systems
US20110269529A1 (en) 2010-04-28 2011-11-03 Igt Systems, Apparatus and Methods for Providing Gaming Applications
US8057302B2 (en) 2006-01-04 2011-11-15 Igt Modular gaming machine and security system
US8062134B2 (en) 1996-11-14 2011-11-22 Bally Gaming, Inc. Browser manager for a networked gaming system and method
US20110287829A1 (en) 2010-05-21 2011-11-24 Martha Atelia Clarkson System and method for providing off-site online based gaming
US8092307B2 (en) 1996-11-14 2012-01-10 Bally Gaming International, Inc. Network gaming system
US20120015724A1 (en) 2009-05-18 2012-01-19 Matthew Adam Ocko Embedding of games into third party websites
US20120015743A1 (en) 2010-06-24 2012-01-19 Serena Lam Mobile device interface for online games
US20120021835A1 (en) 2005-02-11 2012-01-26 Iprd Labs Llc Systems and methods for server based video gaming
US20120062745A1 (en) 2009-05-19 2012-03-15 Imagenext Co., Ltd. Lane departure sensing method and apparatus using images that surround a vehicle
US20120095982A1 (en) 2000-11-13 2012-04-19 Lennington John W Digital Media Recognition Apparatus and Methods
US20120091656A1 (en) 2010-10-14 2012-04-19 Shuffle Master Gmbh & Co Kg. Card handling systems, devices for use in card handling systems and related methods
US8171567B1 (en) 2002-09-04 2012-05-01 Tracer Detection Technology Corp. Authentication method and system
EP1575261B1 (en) 2003-10-15 2012-08-22 Ricoh Company, Ltd. Document collection manipulation
US8251293B2 (en) 2007-01-26 2012-08-28 Nidec Sankyo Corporation Card processing apparatus with liquid drain
US20120242782A1 (en) 2011-03-24 2012-09-27 Hon Hai Precision Industry Co., Ltd. Image capture device and image processing method
US8287386B2 (en) 2009-06-08 2012-10-16 Cfph, Llc Electrical transmission among interconnected gaming systems
US8287347B2 (en) 2008-11-06 2012-10-16 Shuffle Master, Inc. Method, apparatus and system for egregious error mitigation
US8319666B2 (en) 2009-02-20 2012-11-27 Appareo Systems, Llc Optical image monitoring system and method for vehicles
US20120306152A1 (en) 2011-06-03 2012-12-06 The United States Playing Card Company Intelligent table game system
US8342529B2 (en) 2008-07-15 2013-01-01 Shuffle Master, Inc. Automated house way indicator and activator
US8342526B1 (en) 2011-07-29 2013-01-01 Savant Shuffler LLC Card shuffler
US20130020761A1 (en) 2009-04-07 2013-01-24 Shuffle Master, Inc. Card shuffling apparatuses and related methods
CZ24952U1 (en) 2012-11-19 2013-02-18 Skopalík@Robert Device for mixing playing cards
US20130132306A1 (en) 2010-07-30 2013-05-23 Masahiko Kami Game system, and a storage medium storing a computer program and server apparatus therefor
US8485527B2 (en) 2011-07-29 2013-07-16 Savant Shuffler LLC Card shuffler
US8498444B2 (en) 2010-12-13 2013-07-30 Texas Instruments Incorporated Blob representation in video processing
US20130337922A1 (en) 2012-06-15 2013-12-19 Digideal Corporation Playing card creation for wagering devices
US20140027979A1 (en) 2012-07-27 2014-01-30 Shuffle Master, Inc. Batch card shuffling apparatuses including multi card storage compartments, and related methods
US8695978B1 (en) 2012-11-09 2014-04-15 Taiwan Fulgent Enterprise Co., Ltd. Shuffling machine
US8702100B2 (en) 2006-05-17 2014-04-22 Shfl Entertainment, Inc. Playing card delivery systems for games with multiple dealing rounds
US20140145399A1 (en) 2000-04-12 2014-05-29 Shuffle Master Gmbh & Co Kg. Card-handling devices and systems
US8758111B2 (en) 2008-08-20 2014-06-24 Cfph, Llc Game of chance systems and methods
US20140175724A1 (en) 2012-12-20 2014-06-26 Fiskars Brands Finland Oy Ab Chopping aid device
US8919775B2 (en) 2006-11-10 2014-12-30 Bally Gaming, Inc. System for billing usage of an automatic card handling device
US20150069699A1 (en) 2013-09-06 2015-03-12 Mladen Blazevic Playing card imaging technology with through-the-card viewing technology

Family Cites Families (76)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US1256509A (en) 1917-02-26 1918-02-12 Edwin D Belknap Addressing-machine.
US1757553A (en) 1927-08-13 1930-05-06 Tauschek Gustav Machine for shuffling cards
US1889729A (en) 1932-10-12 1932-11-29 Hammond Laurens Card table with automatic dealing mechanism
GB672616A (en) 1949-11-14 1952-05-21 Josef Haendler Improvements in or relating to devices for shuffling playing cards
US2659607A (en) 1950-05-11 1953-11-17 Claude T Skillman Card shuffling device
US2615719A (en) 1950-07-29 1952-10-28 William A Fonken Means for shuffling decks of playing cards
AU2383667A (en) 1967-06-29 1969-01-09 George H. Britton Improvements in or relating to devices for dealing predetermined hands of cards
US3899178A (en) 1974-04-22 1975-08-12 Hideo Watanabe Automatic game block shuffling, aligning and table top arraying machine
USD273962S (en) 1981-05-13 1984-05-22 Fromm Stephen J Dispenser for playing cards or the like
ATE32306T1 (en) 1984-04-03 1988-02-15 Stabeg Apparatebau Gmbh DEFLECTOR FOR AN TENNIS BALL COLLECTION PLANT.
US4753794A (en) 1986-06-24 1988-06-28 The General Hospital Corporation Use of mullerian inhibiting substance as a contraceptive agent
CN2051521U (en) 1988-03-21 1990-01-24 侯有库 Dual-purpose cards used as playing cards and mahjong
US5004218A (en) 1990-02-06 1991-04-02 Xerox Corporation Retard feeder with pivotal nudger ski for reduced smudge
US5146346A (en) 1991-06-14 1992-09-08 Adobe Systems Incorporated Method for displaying and printing multitone images derived from grayscale images
US20050164759A1 (en) 2004-01-26 2005-07-28 Shuffle Master, Inc. Electronic gaming machine with architecture supporting a virtual dealer and virtual cards
US5655966A (en) 1995-08-07 1997-08-12 Intergame Method and apparatus for cashless bartop gaming system operation
USD412723S (en) 1997-02-21 1999-08-10 Max Hachuel Combined deck of cards and holder
US5909876A (en) 1998-03-30 1999-06-08 Steven R. Pyykkonen Game machine wager sensor
US6196416B1 (en) 1999-06-30 2001-03-06 Asahi Seiko Usa, Inc. Device for dispensing articles of value and magazine therefor
US6409172B1 (en) 2000-09-08 2002-06-25 Olaf Vancura Methods and apparatus for a casino game
JP2003154320A (en) 2001-09-04 2003-05-27 Shimizu Kikaku:Kk Card cleaning machine
US20030069071A1 (en) 2001-09-28 2003-04-10 Tim Britt Entertainment monitoring system and method
US8360838B2 (en) 2006-07-03 2013-01-29 Igt Detecting and preventing bots and cheating in online gaming
AU2003253603B2 (en) * 2003-05-30 2008-02-21 Shuffle Master, Inc. Image capturing card shuffler
US7525570B2 (en) 2003-07-17 2009-04-28 Igt Security camera interface
PT1677879E (en) 2003-10-16 2008-04-17 Bally Gaming Int Inc Method, apparatus and article for determining an initial hand in a playing card game, such as blackjack or baccarat
US20050164761A1 (en) 2004-01-22 2005-07-28 Tain Liu G. Poker game managing method
US7079010B2 (en) 2004-04-07 2006-07-18 Jerry Champlin System and method for monitoring processes of an information technology system
US20050277463A1 (en) 2004-06-15 2005-12-15 Knust Randy L Method and system for monitoring and directing poker play in a casino
ATE427145T1 (en) 2004-06-21 2009-04-15 Weike S Pte Ltd VIRTUAL CARD GAME SYSTEM
JP4586474B2 (en) 2004-09-22 2010-11-24 沖電気工業株式会社 Automatic transaction equipment
USD527900S1 (en) 2004-12-28 2006-09-12 Konami Corporation Case for cards and card packs
HK1078423A2 (en) 2005-01-10 2006-03-10 Cathay Plastic Factory Ltd Automatic card shuffling and dealing machine
US8429229B2 (en) 2007-09-20 2013-04-23 Konami Gaming, Inc. Multipurpose EGM/player tracking device and system
CN2855481Y (en) 2005-11-25 2007-01-10 任鹏飞 Automatic machine for shuffling and distributing cards
WO2007076025A2 (en) 2005-12-23 2007-07-05 Cadbury Adams Usa Llc Compositions providing a sensation substantially similar to that provided by menthol
CN2848303Y (en) 2005-12-28 2006-12-20 肖秀萍 Fully automatic poker shuffling and sending out machine
JP4282674B2 (en) 2006-02-17 2009-06-24 シャープ株式会社 Billing system, image forming apparatus, information processing apparatus, billing method, and program
US7367565B2 (en) 2006-02-23 2008-05-06 I-Cheng Chiu Balance plate intelligent game apparatus
CN100446828C (en) 2006-03-16 2008-12-31 闵少安 Playing cards automatic shuffling machine
CN101045189A (en) * 2006-03-31 2007-10-03 泰伟电子股份有限公司 Game apparatus and playing method thereof
US7478813B1 (en) 2006-05-01 2009-01-20 Hofferber David A Device for holding and viewing playing cards
US8038153B2 (en) 2006-05-23 2011-10-18 Bally Gaming, Inc. Systems, methods and articles to facilitate playing card games
CN200987893Y (en) 2006-06-20 2007-12-12 任鹏飞 Automatic card-shuffler and card-dealer
CN1928892A (en) * 2006-09-20 2007-03-14 王枚 Method and device for license plate location recognition, vehicle-logo location recognition and vehicle type
CN200954370Y (en) 2006-09-29 2007-10-03 芙京有限公司 Fully-automatic playing-cards shuffling and issuing device
USD566784S1 (en) 2006-12-28 2008-04-15 Joseph Palmer Playing card holder
US9251661B2 (en) 2007-01-11 2016-02-02 Playtech Software Limited Remote live game
US8602416B2 (en) 2007-05-24 2013-12-10 Shuffle Tech International Llc Card shuffling device and method
US8475252B2 (en) 2007-05-30 2013-07-02 Shfl Entertainment, Inc. Multi-player games with individual player decks
AU2008259895A1 (en) 2007-06-01 2008-12-11 Shuffle Master, Inc. Playing card vault
CN201085907Y (en) 2007-06-06 2008-07-16 谭钜坤 Full-automatic shuffling and dealing apparatus
CN101099896A (en) 2007-07-26 2008-01-09 王强 Automatic playing card machine
CN100571826C (en) 2007-10-11 2009-12-23 上海商赛科技发展有限公司 The Multi Role Aircraft electric installation that automatically shuffling playing cards is dealt out the cards
JP2011024603A (en) 2007-11-27 2011-02-10 Angel Playing Cards Co Ltd Shuffled playing card, and method of manufacturing the same
WO2009067758A1 (en) 2007-11-29 2009-06-04 Elektroncek D.D. Shuffling apparatus
TW200930438A (en) 2008-01-04 2009-07-16 Ci-Xiang Zeng Automatic poker card shuffling device
WO2010015021A1 (en) 2008-08-04 2010-02-11 Lions Share (Aust) Pty Ltd Gaming system
TWM359356U (en) 2009-02-13 2009-06-21 Ci-Xiang Zeng Automatic card-dealing device
US9153093B2 (en) 2009-10-05 2015-10-06 Peter Hartley Using real playing cards for online gaming
US8512146B2 (en) 2009-11-16 2013-08-20 Tangam Technologies Inc. Casino table game yield management system
JP5770971B2 (en) 2009-12-01 2015-08-26 株式会社ユニバーサルエンターテインメント Casino table
US8548327B2 (en) 2009-12-15 2013-10-01 Broadcom Corporation Dynamic management of polling rates in an ethernet passive optical network (EPON)
CN101783011B (en) * 2010-01-08 2011-12-07 宁波大学 Distortion correction method of fish eye lens
US9280866B2 (en) 2010-11-15 2016-03-08 Bally Gaming, Inc. System and method for analyzing and predicting casino key play indicators
US20130023318A1 (en) 2011-07-21 2013-01-24 Jamie Abrahamson Method of playing variant of poker
US9731190B2 (en) 2011-07-29 2017-08-15 Bally Gaming, Inc. Method and apparatus for shuffling and handling cards
US20130241147A1 (en) 2012-03-19 2013-09-19 Patrick Thomas McGrath Apparatus For Dispensing Playing Cards
CN102847311B (en) 2012-08-27 2015-04-08 江苏唐邦机电有限公司 Poker machine
US9511274B2 (en) * 2012-09-28 2016-12-06 Bally Gaming Inc. Methods for automatically generating a card deck library and master images for a deck of cards, and a related card processing apparatus
CN202983149U (en) 2012-12-21 2013-06-12 秦利明 Automatic shuffling machine
US20160317905A9 (en) 2013-06-10 2016-11-03 Digideal Corporation Card Shuffler
US9474957B2 (en) 2014-05-15 2016-10-25 Bally Gaming, Inc. Playing card handling devices, systems, and methods for verifying sets of cards
US9566501B2 (en) 2014-08-01 2017-02-14 Bally Gaming, Inc. Hand-forming card shuffling apparatuses including multi-card storage compartments, and related methods
US9504905B2 (en) 2014-09-19 2016-11-29 Bally Gaming, Inc. Card shuffling device and calibration method
US9993719B2 (en) 2015-12-04 2018-06-12 Shuffle Master Gmbh & Co Kg Card handling devices and related assemblies and components

Patent Citations (942)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
USRE24986E (en) 1961-05-16 Card shuffler and dealer
US205030A (en) 1878-06-18 Improvement in apparatus for shuffling cards
US609730A (en) 1898-08-23 Joseph booth
US2328879A (en) 1943-09-07 isaacson
US130281A (en) 1872-08-06 Improvement in electrical water and pressure indicators for steam-boilers
US673154A (en) 1901-02-08 1901-04-30 Bellows Novelty Company Device for shuffling playing-cards.
US793489A (en) 1903-12-15 1905-06-27 Lewis Caleb Williams Card-receptacle for duplicate cribbage.
US892389A (en) 1906-04-18 1908-07-07 Benjamin F Bellows Card-shuffling device.
US1014219A (en) 1909-11-01 1912-01-09 Edward J Smith Card-shuffler.
US1043109A (en) 1912-01-23 1912-11-05 Horace Hurm Device for shuffling and distributing cards.
US1157898A (en) 1915-06-07 1915-10-26 George J Perret Card-shuffling machine.
US1556856A (en) 1924-02-28 1925-10-13 George C Wing Device for shuffling cards
US1850114A (en) 1929-06-04 1932-03-22 Francis D Mccaddin Machine for dealing and shuffling playing cards
GB337147A (en) 1929-09-26 1930-10-30 Gustav Wendorff A new or improved device for shuffling playing cards
US2065824A (en) 1930-03-04 1936-12-29 Robert H Plass Card dealing machine
US1885276A (en) 1931-01-22 1932-11-01 Robert C Mckay Automatic card shuffler and dealer
US1955926A (en) 1931-01-27 1934-04-24 Paul E Matthaey Means for shuffling cards
US2016030A (en) 1931-06-30 1935-10-01 James L Entwistle Card shuffling and dealing device
US2001220A (en) 1932-01-06 1935-05-14 Richard C Smith Card dealing device
US1992085A (en) 1932-10-27 1935-02-19 Robert C Mckay Method of dealing playing cards
US1998690A (en) 1932-10-31 1935-04-23 Shepherd William Shuffling device
US2043343A (en) 1933-09-29 1936-06-09 Western Electric Co Card game apparatus
GB414014A (en) 1934-04-12 1934-07-26 Gordon John Crichton Wakeford Improved device for shuffling playing cards
US2159958A (en) 1934-10-18 1939-05-23 Eugene A Roll Device for mixing playing cards or the like
US2001918A (en) 1935-01-12 1935-05-21 Wilford J Nevius Card table top
US2060096A (en) 1935-05-28 1936-11-10 Jeannette Northrup Playing card shuffler
DE672616C (en) 1936-06-17 1939-03-06 Fernseh Akt Ges Image dismantling tube
US2254484A (en) 1937-02-26 1941-09-02 Gen Motors Corp Temperature responsive control
US2185474A (en) 1937-11-08 1940-01-02 Sydney C Nott Card shuffling and dealing device
US2364413A (en) 1941-07-19 1944-12-05 Eastman Kodak Co Variable field mechanism for view finders
US2328153A (en) 1942-09-29 1943-08-31 Alexander W Laing Trim tool
US2543522A (en) 1945-06-08 1951-02-27 Samuel J Cohen Apparatus for proportioning liquids
US2525305A (en) 1949-08-04 1950-10-10 Crucible Steel Co America Apparatus for feeding elongated stock to and from fabricating units
US2676020A (en) 1950-01-16 1954-04-20 Floyd H Ogden Card shuffling device
US2661215A (en) 1950-03-06 1953-12-01 Fred H Stevens Card shuffler
US2711319A (en) 1950-04-10 1955-06-21 Morgan Earl Playing card shuffler
US2705638A (en) 1950-06-12 1955-04-05 Daniel E Newcomb Device for shuffling playing cards
US2714510A (en) 1950-06-12 1955-08-02 Rocco Products Inc Mechanical card shuffler
US2701720A (en) 1950-10-06 1955-02-08 Floyd H Ogden Card shuffling device
US2747877A (en) 1950-10-24 1956-05-29 Joseph O Howard Card shuffling mechanism
US2588582A (en) 1950-12-01 1952-03-11 Clifford P Sivertson Card shuffling and dealing device
US2760779A (en) 1951-01-19 1956-08-28 Floyd H Ogden Card dealing mechanism
US2692777A (en) 1951-02-14 1954-10-26 Mathias J Miller Card shuffling machine
US2757005A (en) 1951-06-06 1956-07-31 Fred W Nothaft Card shuffling device
US2717782A (en) 1952-02-18 1955-09-13 Joseph W Droll Device for shuffling playing cards
US2727747A (en) 1952-07-08 1955-12-20 Jr Charles W Semisch Card shuffling device
US2731271A (en) 1952-07-14 1956-01-17 Robert N Brown Combined dealer, shuffler, and tray for playing cards
US2755090A (en) 1952-09-27 1956-07-17 Loyd I Aldrich Card shuffler
US2770459A (en) 1953-09-02 1956-11-13 Ibm Stopping device for card feeding machines
US2790641A (en) 1953-11-16 1957-04-30 Josiah W Adams Card shuffling device
US2782040A (en) 1954-03-22 1957-02-19 Albert J Matter Card shuffler and tray
US2815214A (en) 1954-04-09 1957-12-03 Basil G Hall Card shuffler
US2937739A (en) 1954-05-27 1960-05-24 Levy Maurice Moise Conveyor system
US2778643A (en) 1954-08-09 1957-01-22 George M Williams Card shuffler
US2914215A (en) 1954-09-07 1959-11-24 Superior Mfg Co Vending machine
US2793863A (en) 1954-10-28 1957-05-28 Liebelt Gottlieb Card shufflers
US2821399A (en) 1955-06-24 1958-01-28 Heinoo Lauri Card playing machine
US2778644A (en) 1955-10-03 1957-01-22 James R Stephenson Card shuffler and dealer
US2950005A (en) 1956-08-10 1960-08-23 Burroughs Corp Card sorter
US3147978A (en) 1957-01-16 1964-09-08 Sjostrand Hjalmar Emanuel Playing card dealing devices
US3067885A (en) 1959-02-24 1962-12-11 Conrad D Kohler Automatic panel feeder
US3131935A (en) 1959-06-27 1964-05-05 Gronneberg Roar Card dealing apparatus including reciprocating pusher and cooperating rollers
US3107096A (en) 1960-10-10 1963-10-15 Eruest T Osborn Card shuffling device
US3235741A (en) 1961-04-24 1966-02-15 Invac Corp Switch
US3124674A (en) 1961-05-19 1964-03-10 Edwards
US3222071A (en) 1963-02-14 1965-12-07 Lang William Prearranged hand playing card dealing apparatus
US3305237A (en) 1964-03-02 1967-02-21 Emil J Granius Shuffler with adjustable gates having offset playing card hold down means
US3312473A (en) 1964-03-16 1967-04-04 Willard I Friedman Card selecting and dealing machine
US3288308A (en) 1964-09-11 1966-11-29 Carl E Gingher Clothes hanger suspension device
US3452509A (en) 1966-04-11 1969-07-01 Itt Automatic sorting system for discrete flat articles
US3810627A (en) 1968-01-22 1974-05-14 D Levy Data-processing system for determining gains and losses from bets
US3588116A (en) 1968-02-29 1971-06-28 Mamoru Matsuoka Card shuffler
US3530968A (en) 1968-05-16 1970-09-29 Gen Electric Ticket handling and storage mechanism especially useful in automatic fare collection systems
US3597076A (en) 1969-01-17 1971-08-03 Pitney Bowes Inc Label-making system
US3589730A (en) 1969-08-07 1971-06-29 John P Slay Playing-card shuffler
US3618933A (en) 1969-11-10 1971-11-09 Burroughs Corp Card feed device
US3595388A (en) 1969-11-25 1971-07-27 Supreme Equip & Syst Random access store for cards, file folders, and the like
US3690670A (en) 1969-12-15 1972-09-12 John Cassady Card sorting device
US3909002A (en) 1970-04-02 1975-09-30 David Levy Data-processing system for determining gains and losses from bets
US3716238A (en) 1970-07-13 1973-02-13 B Porter Method of prearranging playing cards for educational and entertainment purposes
US3627331A (en) 1970-07-21 1971-12-14 Marlo W V Erickson Automatic card dealing machine
US3704938A (en) 1970-10-01 1972-12-05 Hyman Fanselow Punch card viewer
US3680853A (en) 1970-12-01 1972-08-01 Burroughs Corp Record card reader, feeder and transport device
US3666270A (en) 1971-02-08 1972-05-30 Frank A Mazur Card dealer
US3751041A (en) 1971-03-05 1973-08-07 T Seifert Method of utilizing standardized punch cards as punch coded and visually marked playing cards
US3761079A (en) 1971-03-05 1973-09-25 Automata Corp Document feeding mechanism
US3944077A (en) 1971-08-02 1976-03-16 Genevieve I. Hanscom Shuffle feed sizing mechanism
US3929339A (en) 1973-09-28 1975-12-30 S I T A V S P A Societa Increm Device for distribution of playing-cards
US3861261A (en) 1973-11-09 1975-01-21 Rubatex Corp Apparatus for positioning, holding and die-cutting resilient and semi-resilient strip material
US3897954A (en) 1974-06-14 1975-08-05 J David Erickson Automatic card distributor
US4033590A (en) 1974-08-26 1977-07-05 Francoise Pic Apparatus for distributing playing cards automatically
US4072930A (en) 1974-09-13 1978-02-07 Bally Manufacturing Corporation Monitoring system for use with amusement game devices
US4166615A (en) 1974-12-27 1979-09-04 Sharp Kabushiki Kaisha Means for determining difference in copy sheet transportation states for an electrostatic reproduction machine
US3949219A (en) 1975-01-20 1976-04-06 Optron, Inc. Optical micro-switch
US4023705A (en) 1975-04-10 1977-05-17 Lawrence L. Reiner Dispenser for cards and the like
US3944230A (en) 1975-06-23 1976-03-16 Sol Fineman Card shuffler
US3968364A (en) 1975-08-27 1976-07-06 Xerox Corporation Height sensing device
US4088265A (en) 1976-05-26 1978-05-09 Peripheral Dynamics, Inc. Adaptable mark/hole sensing arrangement for card reader apparatus
US4232861A (en) 1976-12-22 1980-11-11 Maul Lochkartengerate Gmbh Sorting method and machine
DE2757341A1 (en) 1976-12-28 1978-06-29 Tanaka Seiki Co DEVICE FOR SORTING INFORMATION CARDS
FR2375918A1 (en) 1976-12-28 1978-07-28 Tanaka Seiki Co Two group card sorter developed for three groups - uses axially movable roller pair with data dependent position off setting selected cards relative to stack
US4162649A (en) 1977-05-18 1979-07-31 Wiggins Teape Limited Sheet stack divider
US4339134A (en) 1977-07-05 1982-07-13 Rockwell International Corporation Electronic card game
US4159581A (en) 1977-08-22 1979-07-03 Edward Lichtenberg Device for instruction in the game of bridge and method of and device for dealing predetermined bridge hands
US4151410A (en) 1977-12-02 1979-04-24 Burroughs Corporation Document processing, jam detecting apparatus and process
US4280690A (en) 1978-07-21 1981-07-28 James Hill Collator
AU5025479A (en) 1979-03-09 1980-03-06 Hugh Vincent Boughton Card shuffling machine
US4374309A (en) 1979-06-01 1983-02-15 Walton Russell C Machine control device
US4310160A (en) 1979-09-10 1982-01-12 Leo Willette Card shuffling device
US4388994A (en) 1979-11-14 1983-06-21 Nippon Electric Co., Ltd. Flat-article sorting apparatus
US4339798A (en) 1979-12-17 1982-07-13 Remote Dynamics Remote gaming system
US4467424A (en) 1979-12-17 1984-08-21 Hedges Richard A Remote gaming system
US4283709A (en) 1980-01-29 1981-08-11 Summit Systems, Inc. (Interscience Systems) Cash accounting and surveillance system for games
US4494197A (en) 1980-12-11 1985-01-15 Seymour Troy Automatic lottery system
US4369972A (en) 1981-02-20 1983-01-25 Parker Richard A Card dealer wheel assembly with adjustable arm
US4385827A (en) 1981-04-15 1983-05-31 Xerox Corporation High speed duplicator with finishing function
US4368972A (en) 1981-04-15 1983-01-18 Xerox Corporation Very high speed duplicator with finishing function
US4361393A (en) 1981-04-15 1982-11-30 Xerox Corporation Very high speed duplicator with finishing function
USD274069S (en) 1981-07-02 1984-05-29 Fromm Stephen J Dispenser for playing cards or the like
US4377285A (en) 1981-07-21 1983-03-22 Vingt-Et-Un Corporation Playing card dispenser
US4421501A (en) 1982-01-18 1983-12-20 Scheffer Bruce A Web folding apparatus
US4662816A (en) 1982-04-01 1987-05-05 Womako Maschinenkonstruktionen Gmbh Method of breaking up stacks of paper sheets or the like
US4421312A (en) 1982-04-23 1983-12-20 Delgado Pedro R Foldable board game with card shuffler
US4397469A (en) 1982-08-02 1983-08-09 Carter Iii Bartus Method of reducing predictability in card games
US4659082A (en) 1982-09-13 1987-04-21 Harold Lorber Monte verde playing card dispenser
US4586712A (en) 1982-09-14 1986-05-06 Harold Lorber Automatic shuffling apparatus
US4513969A (en) 1982-09-20 1985-04-30 American Gaming Industries, Inc. Automatic card shuffler
US4531187A (en) 1982-10-21 1985-07-23 Uhland Joseph C Game monitoring apparatus
US4497488A (en) 1982-11-01 1985-02-05 Plevyak Jerome B Computerized card shuffling machine
US4832342A (en) 1982-11-01 1989-05-23 Computer Gaming Systems, Inc. Computerized card shuffling machine
US4512580A (en) 1982-11-15 1985-04-23 John Matviak Device for reducing predictability in card games
US4515367A (en) 1983-01-14 1985-05-07 Robert Howard Card shuffler having a random ejector
US4926327A (en) 1983-04-05 1990-05-15 Sidley Joseph D H Computerized gaming system
US4534562A (en) 1983-06-07 1985-08-13 Tyler Griffin Company Playing card coding system and apparatus for dealing coded cards
US4566782A (en) 1983-12-22 1986-01-28 Xerox Corporation Very high speed duplicator with finishing function using dual copy set transports
US4549738A (en) 1984-04-30 1985-10-29 Morris Greitzer Swivel chip and card dispenser for game boards
US4575367A (en) 1984-08-06 1986-03-11 General Motors Corporation Slip speed sensor for a multiple link belt drive system
US4921109A (en) 1985-05-07 1990-05-01 Shibuya Computer Service Kabushiki Kaisha Card sorting method and apparatus
US4662637A (en) 1985-07-25 1987-05-05 Churkendoose, Incorporated Method of playing a card selection game
US4667959A (en) 1985-07-25 1987-05-26 Churkendoose, Incorporated Apparatus for storing and selecting cards
WO1987000764A1 (en) 1985-08-02 1987-02-12 Churkendoose, Incorporated Method of playing a card game
US4755941A (en) 1985-09-06 1988-07-05 Lorenzo Bacchi System for monitoring the movement of money and chips on a gaming table
US4759448A (en) 1985-11-18 1988-07-26 Sanden Corporation Apparatus for identifying and storing documents
US4876000A (en) 1986-01-16 1989-10-24 Ameer Mikhail G Postal stamp process, apparatus, and metering device, therefor
US4822050A (en) 1986-03-06 1989-04-18 Acticiel S.A. Device for reading and distributing cards, in particular playing cards
US4741524A (en) 1986-03-18 1988-05-03 Xerox Corporation Sorting apparatus
US5283422B1 (en) 1986-04-18 2000-10-17 Cias Inc Information transfer and use particularly with respect to counterfeit detection
US5283422A (en) 1986-04-18 1994-02-01 Cias, Inc. Information transfer and use, particularly with respect to counterfeit detection
US4750743A (en) 1986-09-19 1988-06-14 Pn Computer Gaming Systems, Inc. Playing card dispenser
US4770412A (en) 1987-03-02 1988-09-13 Wolfe Henry S Free standing, self-righting sculptured punching bags
US4900009A (en) 1987-04-20 1990-02-13 Canon Kabushiki Kaisha Sorter
US4770421A (en) 1987-05-29 1988-09-13 Golden Nugget, Inc. Card shuffler
US4951950A (en) 1987-10-02 1990-08-28 Acticiel S.A. Manual playing card dealing appliance for the production of programmed deals
US4807884A (en) 1987-12-28 1989-02-28 Shuffle Master, Inc. Card shuffling device
DE3807127A1 (en) 1988-03-04 1989-09-14 Jobst Kramer Device for detecting the value of playing cards
US4948134A (en) 1988-04-18 1990-08-14 Caribbean Stud Enterprises, Inc. Electronic poker game
US4861041C1 (en) 1988-04-18 2001-07-03 D & D Gaming Patents Inc Methods of progressive jackpot gaming
US5377973A (en) 1988-04-18 1995-01-03 D&D Gaming Patents, Inc. Methods and apparatus for playing casino card games including a progressive jackpot
US5382025A (en) 1988-04-18 1995-01-17 D & D Gaming Patents, Inc. Method for playing a poker game
US4861041A (en) 1988-04-18 1989-08-29 Caribbean Stud Enterprises, Inc. Methods of progressive jackpot gaming
US5377973B1 (en) 1988-04-18 1996-12-10 D & D Gaming Patents Inc Methods and apparatus for playing casino card games including a progressive jackpot
US4993587A (en) 1988-05-09 1991-02-19 Asahi Seiko Kabushiki Kaisha Card dispensing apparatus for card vending machine
US5078405A (en) 1988-07-05 1992-01-07 Caribbean Stud Enterprises, Inc. Apparatus for progressive jackpot gaming
US4858000A (en) 1988-09-14 1989-08-15 A. C. Nielsen Company Image recognition audience measurement system and method
US5179517A (en) 1988-09-22 1993-01-12 Bally Manufacturing Corporation Game machine data transfer system utilizing portable data units
US4969648A (en) 1988-10-13 1990-11-13 Peripheral Dynamics, Inc. Apparatus and method for automatically shuffling cards
US4904830A (en) 1989-02-28 1990-02-27 Rizzuto Anthony B Liquid shut-off system
US4995615A (en) 1989-07-10 1991-02-26 Cheng Kuan H Method and apparatus for performing fair card play
US5102293A (en) 1989-10-12 1992-04-07 Ingenieurburo Willi Schneider Unstacking apparatus for removing a partial stack from a stack of sheets
US5121192A (en) 1989-10-19 1992-06-09 Sanyo Electric Co., Ltd. Solid-state color imaging device
US5681039A (en) 1989-12-04 1997-10-28 Tech Art, Inc. Card reader for blackjack table
US5039102A (en) 1989-12-04 1991-08-13 Tech Art, Inc. Card reader for blackjack table
US5362053A (en) 1989-12-04 1994-11-08 Tech Art, Inc. Card reader for blackjack table
US5000453A (en) 1989-12-21 1991-03-19 Card-Tech, Ltd. Method and apparatus for automatically shuffling and cutting cards and conveying shuffled cards to a card dispensing shoe while permitting the simultaneous performance of the card dispensing operation
US5067713A (en) 1990-03-29 1991-11-26 Technical Systems Corp. Coded playing cards and apparatus for dealing a set of cards
US5259907A (en) 1990-03-29 1993-11-09 Technical Systems Corp. Method of making coded playing cards having machine-readable coding
US5197094A (en) 1990-06-15 1993-03-23 Arachnid, Inc. System for remotely crediting and billing usage of electronic entertainment machines
US5276312A (en) 1990-12-10 1994-01-04 Gtech Corporation Wagering system using smartcards for transfer of agent terminal data
US5267248A (en) 1990-12-24 1993-11-30 Eastman Kodak Company Method and apparatus for selecting an optimum error correction routine
US5209476A (en) 1990-12-28 1993-05-11 Peter Eiba Gaming machine and operating method therefor
US5081487A (en) 1991-01-25 1992-01-14 Xerox Corporation Cut sheet and computer form document output tray unit
US5240140A (en) 1991-02-12 1993-08-31 Fairform Mfg Co Ltd Card dispenser
US5224712A (en) 1991-03-01 1993-07-06 No Peek 21 Card mark sensor and methods for blackjack
US5515477A (en) 1991-04-22 1996-05-07 Sutherland; John Neural networks
US5096197A (en) 1991-05-22 1992-03-17 Lloyd Embury Card deck shuffler
WO1992021413A1 (en) 1991-05-31 1992-12-10 Tech Art, Incorporated Improved card reader for blackjack table
US5118114A (en) 1991-08-15 1992-06-02 Domenick Tucci Method and apparatus for playing a poker type game
US5416308A (en) 1991-08-29 1995-05-16 Video Lottery Technologies, Inc. Transaction document reader
US5121921A (en) 1991-09-23 1992-06-16 Willard Friedman Card dealing and sorting apparatus and method
US5257179A (en) 1991-10-11 1993-10-26 Williams Electronics Games, Inc. Audit and pricing system for coin-operated games
US5299089A (en) 1991-10-28 1994-03-29 E. I. Dupont De Nemours & Co. Connector device having two storage decks and three contact arrays for one hard disk drive package or two memory cards
US5199710A (en) 1991-12-27 1993-04-06 Stewart Lamle Method and apparatus for supplying playing cards at random to the casino table
US5154429A (en) 1992-02-24 1992-10-13 Four Queens, Inc. Method of playing multiple action blackjack
US5636843A (en) 1992-09-04 1997-06-10 Roberts; Carl Methods for prop bets for blackjack and other games
US5382024A (en) 1992-10-13 1995-01-17 Casinos Austria Aktiengesellschaft Playing card shuffler and dispenser
US5248142A (en) 1992-12-17 1993-09-28 Shuffle Master, Inc. Method and apparatus for a wagering game
US5374061A (en) 1992-12-24 1994-12-20 Albrecht; Jim Card dispensing shoe having a counting device and method of using the same
US5303921A (en) 1992-12-31 1994-04-19 Shuffle Master, Inc. Jammed shuffle detector
US5261667A (en) 1992-12-31 1993-11-16 Shuffle Master, Inc. Random cut apparatus for card shuffling machine
US5275411A (en) 1993-01-14 1994-01-04 Shuffle Master, Inc. Pai gow poker machine
US7510190B2 (en) 1993-02-25 2009-03-31 Shuffle Master, Inc. High-low poker wagering games
US5544892A (en) 1993-02-25 1996-08-13 Shuffle Master, Inc. Multi-tiered wagering method and game
US5437462A (en) 1993-02-25 1995-08-01 Shuffle Master, Inc. Wagering game
US6454266B1 (en) 1993-02-25 2002-09-24 Shuffle Master, Inc. Bet withdrawal casino game with wild symbol
US5288081A (en) 1993-02-25 1994-02-22 Shuffle Master, Inc. Method of playing a wagering game
US7246799B2 (en) 1993-02-25 2007-07-24 Shuffle Master, Inc. Method of playing a poker-type wagering game with multiple betting options
US6299534B1 (en) 1993-02-25 2001-10-09 Shuffle Master, Inc. Gaming apparatus with proximity switch
US7367563B2 (en) 1993-02-25 2008-05-06 Shuffle Master, Inc. Interactive simulated stud poker apparatus and method
US7367884B2 (en) 1993-02-25 2008-05-06 Shuffle Master, Inc. Photoelectric gaming token sensing apparatus with flush mounted gaming token supporter
US6334614B1 (en) 1993-02-25 2002-01-01 Shuffle Master Inc Multi-tiered wagering method and game
US6019374A (en) 1993-02-25 2000-02-01 Shuffle Master, Inc. Multi-tiered wagering method and game
US5344146A (en) 1993-03-29 1994-09-06 Lee Rodney S Playing card shuffler
US5836775A (en) 1993-05-13 1998-11-17 Berg Tehnology, Inc. Connector apparatus
US5390910A (en) 1993-05-24 1995-02-21 Xerox Corporation Modular multifunctional mailbox unit with interchangeable sub-modules
US5397133A (en) 1993-09-30 1995-03-14 At&T Corp. System for playing card games remotely
US5356145A (en) 1993-10-13 1994-10-18 Nationale Stichting Tot Exploitatie Van Casinospelen In Nederland Card shuffler
US5770553A (en) 1993-12-11 1998-06-23 Basf Aktiengesellschaft Use of polyaspartic acid in detergents and cleaners
USD365853S (en) 1993-12-22 1996-01-02 Casinos Austria Aktiengesellschaft Plate for a gaming table
US5719288A (en) 1993-12-23 1998-02-17 Basf Aktiengesellschaft Pyridone dyes
US5431399A (en) 1994-02-22 1995-07-11 Mpc Computing, Inc Card shuffling and dealing apparatus
US5445377A (en) 1994-03-22 1995-08-29 Steinbach; James R. Card shuffler apparatus
US5575475A (en) 1994-03-22 1996-11-19 Steinbach; James R. Card shuffler apparatus
US6299167B1 (en) 1994-04-18 2001-10-09 Randy D. Sines Playing card shuffling machine
US6019368A (en) 1994-04-18 2000-02-01 Sines; Randy D. Playing card shuffler apparatus and method
US5584483A (en) 1994-04-18 1996-12-17 Casinovations, Inc. Playing card shuffling machines and methods
US5676372A (en) 1994-04-18 1997-10-14 Casinovations, Inc. Playing card shuffler
WO1995028210A1 (en) 1994-04-18 1995-10-26 Casinovations Inc. Playing card shuffling machines and methods
US5524888A (en) 1994-04-28 1996-06-11 Bally Gaming International, Inc. Gaming machine having electronic circuit for generating game results with non-uniform probabilities
US5770533A (en) 1994-05-02 1998-06-23 Franchi; John Franco Open architecture casino operating system
US5586766A (en) 1994-05-13 1996-12-24 Casinovations, Inc. Blackjack game system and methods
US5470079A (en) 1994-06-16 1995-11-28 Bally Gaming International, Inc. Game machine accounting and monitoring system
US5867586A (en) 1994-06-24 1999-02-02 Angstrom Technologies, Inc. Apparatus and methods for fluorescent imaging and optical character reading
US7165770B2 (en) 1994-07-22 2007-01-23 Shuffle Master, Inc. Poker game with dealer disqualifying hand
US7387300B2 (en) 1994-07-22 2008-06-17 Shuffle Master, Inc. Player-banked four card poker game
US7264243B2 (en) 1994-07-22 2007-09-04 Shuffle Master, Inc Six-card poker game
US5397128A (en) 1994-08-08 1995-03-14 Hesse; Michael A. Casino card game
US5695189A (en) 1994-08-09 1997-12-09 Shuffle Master, Inc. Apparatus and method for automatically cutting and shuffling playing cards
US20050140090A1 (en) 1994-08-09 2005-06-30 Shuffle Master, Inc. Card shuffler with jam recovery and display
US20020070499A1 (en) 1994-08-09 2002-06-13 Shuffle Master, Inc. Method and apparatus for automatically cutting and shuffling playing cards
US6068258A (en) 1994-08-09 2000-05-30 Shuffle Master, Inc. Method and apparatus for automatically cutting and shuffling playing cards
US6568678B2 (en) 1994-08-09 2003-05-27 Shuffle Master, Inc. Method and apparatus for automatically cutting and shuffling playing cards
US7584962B2 (en) 1994-08-09 2009-09-08 Shuffle Master, Inc. Card shuffler with jam recovery and display
US20020063389A1 (en) 1994-08-09 2002-05-30 Breeding John G. Card shuffler with sequential card feeding module and method of delivering groups of cards
US6325373B1 (en) 1994-08-09 2001-12-04 Shuffle Master, Inc. Method and apparatus for automatically cutting and shuffling playing cards
US6139014A (en) 1994-08-09 2000-10-31 Shuffle Master, Inc. Method and apparatus for automatically cutting and shuffling playing cards
US5683085A (en) 1994-08-15 1997-11-04 Johnson; Rodney George Card handling apparatus
EP0777514A1 (en) 1994-08-15 1997-06-11 Gaming Products Limited Card handling apparatus
WO1996007153A1 (en) 1994-09-01 1996-03-07 Strisower John M A system for the tracking and management of transactions in a pit area of a gaming establishment
US5586936A (en) 1994-09-22 1996-12-24 Mikohn Gaming Corporation Automated gaming table tracking system and method therefor
US5431407A (en) 1994-09-29 1995-07-11 Hofberg; Renee B. Method of playing a casino card game
US6257981B1 (en) 1994-10-12 2001-07-10 Acres Gaming Incorporated Computer network for controlling and monitoring gaming devices
US5655961A (en) 1994-10-12 1997-08-12 Acres Gaming, Inc. Method for operating networked gaming devices
US5941769A (en) 1994-11-08 1999-08-24 Order; Michail Gaming equipment for professional use of table games with playing cards and gaming chips, in particular for the game of "black jack"
US5890717A (en) 1994-11-09 1999-04-06 Rosewarne; Fenton Interactive probe game
US5690324A (en) 1994-12-14 1997-11-25 Tohoku Ricoh Co., Ltd. Sorter for a stencil printer and paper transport speed control device for sorter
US5707286A (en) 1994-12-19 1998-01-13 Mikohn Gaming Corporation Universal gaming engine
US6210274B1 (en) 1994-12-19 2001-04-03 Rolf E. Carlson Universal gaming engine
US5813326A (en) 1994-12-22 1998-09-29 Pitney Bowes Inc. Mailing machine utilizing ink jet printer
US5788574A (en) 1995-02-21 1998-08-04 Mao, Inc. Method and apparatus for playing a betting game including incorporating side betting which may be selected by a game player
US5613912A (en) 1995-04-05 1997-03-25 Harrah's Club Bet tracking system for gaming tables
US5735525A (en) 1995-04-11 1998-04-07 Mccrea, Jr.; Charles H. Secure multi-site progressive jackpot system for live card games
US6346044B1 (en) 1995-04-11 2002-02-12 Mccrea, Jr. Charles H. Jackpot system for live card games based upon game play wagering and method therefore
US5605334A (en) 1995-04-11 1997-02-25 Mccrea, Jr.; Charles H. Secure multi-site progressive jackpot system for live card games
US6117012A (en) 1995-04-11 2000-09-12 Mccrea, Jr.; Charles H. Jackpot system for live card games based upon game play wagering and method
US5911626A (en) 1995-04-11 1999-06-15 Mccrea, Jr.; Charles H. Jackpot system for live card games based upon game play wagering and method therefore
US5707287A (en) 1995-04-11 1998-01-13 Mccrea, Jr.; Charles H. Jackpot system for live card games based upon game play wagering and method therefore
US6254484B1 (en) 1995-04-11 2001-07-03 Mccrea, Jr. Charles H. Secure multi-site progressive jackpot system for live card games
US6093103A (en) 1995-04-11 2000-07-25 Mccrea, Jr.; Charles H. Secure multi-site progressive jackpot system for live card games
US5651548A (en) 1995-05-19 1997-07-29 Chip Track International Gaming chips with electronic circuits scanned by antennas in gaming chip placement areas for tracking the movement of gaming chips within a casino apparatus and method
US5489101A (en) 1995-06-06 1996-02-06 Moody; Ernest W. Poker-style card game
US5944310A (en) 1995-06-06 1999-08-31 Gaming Products Pty Ltd Card handling apparatus
US5883804A (en) 1995-06-14 1999-03-16 Telex Communications, Inc. Modular digital audio system having individualized functional modules
US5531448A (en) 1995-06-28 1996-07-02 Moody Ernest W Poker-style card game
US5772505A (en) 1995-06-29 1998-06-30 Peripheral Dynamics, Inc. Dual card scanner apparatus and method
US5632483A (en) 1995-06-29 1997-05-27 Peripheral Dynamics, Inc. Blackjack scanner apparatus and method
US5669816A (en) 1995-06-29 1997-09-23 Peripheral Dynamics, Inc. Blackjack scanner apparatus and method
US7331579B2 (en) 1995-07-19 2008-02-19 Shuffle Master, Inc. Poker game with dealer disqualifying hand
US6902167B2 (en) 1995-07-19 2005-06-07 Prime Table Games Llc Method and apparatus for playing blackjack with a 3- or 5-card numerical side wager (“21+3/5 numerical”)
US7575237B2 (en) 1995-07-19 2009-08-18 Shuffle Master, Inc. Poker game with dealer disqualifying hand
US6698759B2 (en) 1995-07-19 2004-03-02 Shuffle Master, Inc. Player banked three card poker and associated games
US5957776A (en) 1995-08-09 1999-09-28 Table Trac, Inc. Table game control system
US5803808A (en) 1995-08-18 1998-09-08 John M. Strisower Card game hand counter/decision counter device
US5991308A (en) 1995-08-25 1999-11-23 Terayon Communication Systems, Inc. Lower overhead method for data transmission using ATM and SCDMA over hybrid fiber coax cable plant
US5802560A (en) 1995-08-30 1998-09-01 Ramton International Corporation Multibus cached memory system
US6629889B2 (en) 1995-09-14 2003-10-07 Grips Electronic Gmbh Apparatus and method for data gathering in games of chance
WO1997010577A1 (en) 1995-09-14 1997-03-20 Grips Electronic Ges.Mbh Apparatus and method for data gathering in games of chance
US5919090A (en) 1995-09-14 1999-07-06 Grips Electronic Gmbh Apparatus and method for data gathering in games of chance
US5735742A (en) 1995-09-20 1998-04-07 Chip Track International Gaming table tracking system and method
US5785321A (en) 1995-09-25 1998-07-28 Van Putten; Mauritius Hendrikus Paulus Maria Roulette registration system
US6532297B1 (en) 1995-10-05 2003-03-11 Digital Biometrics, Inc. Gambling chip recognition system
US5781647A (en) 1995-10-05 1998-07-14 Digital Biometrics, Inc. Gambling chip recognition system
US20020068635A1 (en) 1995-10-17 2002-06-06 Smart Shoes, Inc. System including card game dispensing shoe with barrier and scanner, and enhanced card gaming table, enabling waging by remote bettors
US5722893A (en) 1995-10-17 1998-03-03 Smart Shoes, Inc. Card dispensing shoe with scanner
US6582301B2 (en) 1995-10-17 2003-06-24 Smart Shoes, Inc. System including card game dispensing shoe with barrier and scanner, and enhanced card gaming table, enabling waging by remote bettors
US20030195025A1 (en) 1995-10-17 2003-10-16 Hill Otho Dale System including card game dispensing shoe and method
US7699694B2 (en) 1995-10-17 2010-04-20 Shuffle Master, Inc. System including card game dispensing shoe and method
US6039650A (en) 1995-10-17 2000-03-21 Smart Shoes, Inc. Card dispensing shoe with scanner apparatus, system and method therefor
US6299536B1 (en) 1995-10-17 2001-10-09 Smart Shoes, Inc. Card dispensing shoe with scanner apparatus, system and method therefor
US6113101A (en) 1995-11-09 2000-09-05 Wirth; John E. Method and apparatus for playing casino poker game
US5845906A (en) 1995-11-09 1998-12-08 Wirth; John E. Method for playing casino poker game
US5768382A (en) 1995-11-22 1998-06-16 Walker Asset Management Limited Partnership Remote-auditing of computer generated outcomes and authenticated biling and access control system using cryptographic and other protocols
US5676231A (en) 1996-01-11 1997-10-14 International Game Technology Rotating bill acceptor
US6308886B1 (en) 1996-01-31 2001-10-30 Magtek, Inc. Terminal for issuing and processing data-bearing documents
US5814796A (en) 1996-01-31 1998-09-29 Mag-Tek, Inc. Terminal for issuing and processing data-bearing documents
US5985305A (en) 1996-02-02 1999-11-16 Alza Corporation Sustained delivery of an active agent using an implantable system
US5711525A (en) 1996-02-16 1998-01-27 Shuffle Master, Inc. Method of playing a wagering game with built in probabilty variations
US5701565A (en) 1996-03-29 1997-12-23 Xerox Corporation Web feed printer drive system
US5879233A (en) 1996-03-29 1999-03-09 Stupero; John R. Duplicate card game
US6254002B1 (en) 1996-05-17 2001-07-03 Mark A. Litman Antiforgery security system
US5839730A (en) 1996-05-22 1998-11-24 Shuffle Master, Inc. Consecutive card side bet method
US6183362B1 (en) 1996-05-24 2001-02-06 Harrah's Operating Co. National customer recognition system and method
US5685543A (en) 1996-05-28 1997-11-11 Garner; Lee B. Playing card holder and dispenser
US5813912A (en) 1996-07-08 1998-09-29 Shultz; James Doouglas Tracking and credit method and apparatus
US5791988A (en) 1996-07-22 1998-08-11 Nomi; Shigehiko Computer gaming device with playing pieces
JPH1063933A (en) 1996-08-21 1998-03-06 Konami Co Ltd Merchandise supplying device and game machine using the device
US5810355A (en) 1996-09-05 1998-09-22 Trilli; Pasquale Apparatus for holding multiple decks of playing cards
US5692748A (en) 1996-09-26 1997-12-02 Paulson Gaming Supplies, Inc., Card shuffling device and method
US5743798A (en) 1996-09-30 1998-04-28 Progressive Games, Inc. Apparatus for playing a roulette game including a progressive jackpot
WO1998014249A1 (en) 1996-09-30 1998-04-09 Cranford Tony A High-capacity automatic playing card shuffler
CA2266555A1 (en) 1996-09-30 1998-04-09 Tony A. Cranford High-capacity automatic playing card shuffler
US5718427A (en) 1996-09-30 1998-02-17 Tony A. Cranford High-capacity automatic playing card shuffler
US5892210A (en) 1996-10-10 1999-04-06 Coin Acceptors, Inc. Smart card reader with liquid diverter system
US6126166A (en) 1996-10-28 2000-10-03 Advanced Casino Technologies, Inc. Card-recognition and gaming-control device
US6645068B1 (en) 1996-11-14 2003-11-11 Arcade Planet, Inc. Profile-driven network gaming and prize redemption system
US8062134B2 (en) 1996-11-14 2011-11-22 Bally Gaming, Inc. Browser manager for a networked gaming system and method
US8092307B2 (en) 1996-11-14 2012-01-10 Bally Gaming International, Inc. Network gaming system
US5720484A (en) 1996-11-19 1998-02-24 Hsu; James Method of playing a casino card game
US6154131A (en) 1996-12-11 2000-11-28 Jones, Ii; Griffith Casino table sensor alarms and method of using
US6015311A (en) 1996-12-17 2000-01-18 The Whitaker Corporation Contact configuration for smart card reader
US5989122A (en) 1997-01-03 1999-11-23 Casino Concepts, Inc. Apparatus and process for verifying, sorting, and randomizing sets of playing cards and process for playing card games
US5735724A (en) 1997-01-24 1998-04-07 Dah Yang Toy Industrial Co., Ltd. Toy assembly having moving toy elements
US5779546A (en) 1997-01-27 1998-07-14 Fm Gaming Electronics L.P. Automated gaming system and method of automated gaming
US6217447B1 (en) 1997-01-31 2001-04-17 Dp Stud, Inc. Method and system for generating displays in relation to the play of baccarat
US6213310B1 (en) 1997-02-11 2001-04-10 Cash And Change Control Sweden Ab Arrangement for handling banknotes
US20020017481A1 (en) 1997-03-13 2002-02-14 Shuffle Master, Inc., Collating and sorting apparatus
WO1998040136A1 (en) 1997-03-13 1998-09-17 Access Investments Pty Ltd Collating and sorting apparatus
US7735657B2 (en) 1997-03-13 2010-06-15 Shuffle Master, Inc. Shuffling apparatus and method
US6676127B2 (en) 1997-03-13 2004-01-13 Shuffle Master, Inc. Collating and sorting apparatus
US6267248B1 (en) 1997-03-13 2001-07-31 Shuffle Master Inc Collating and sorting apparatus
CA2284017A1 (en) 1997-03-13 1998-09-17 Access Investments Pty Ltd Collating and sorting apparatus
US6827282B2 (en) 1997-03-16 2004-12-07 Silverbrook Research Pty Ltd Identifying card
US6200218B1 (en) 1997-03-27 2001-03-13 John Huxley Limited Gaming chip system
US6071190A (en) 1997-05-21 2000-06-06 Casino Data Systems Gaming device security system: apparatus and method
JPH1145321A (en) 1997-07-25 1999-02-16 Takamisawa Cybernetics Co Ltd Card counter
US7106201B2 (en) 1997-08-20 2006-09-12 Micron Technology, Inc. Communication devices, remote intelligent communication devices, electronic communication devices, methods of forming remote intelligent communication devices and methods of forming a radio frequency identification device
US6234900B1 (en) 1997-08-22 2001-05-22 Blake Cumbers Player tracking and identification system
US6165072A (en) 1997-09-02 2000-12-26 Quixotic Solutions Inc. Apparatus and process for verifying honest gaming transactions over a communications network
US5974150A (en) 1997-09-30 1999-10-26 Tracer Detection Technology Corp. System and method for authentication of goods
US5936222A (en) 1997-10-03 1999-08-10 The Whitaker Corporation Smart card reader having pivoting contacts
US6186895B1 (en) 1997-10-07 2001-02-13 Mikohn Gaming Corporation Intelligent casino chip system and method or use thereof
US6685564B2 (en) 1997-10-07 2004-02-03 Mikohn Gaming Corporation Intelligent casino chip promotion method
US6464584B2 (en) 1997-10-07 2002-10-15 Mikohn Gaming Corporation Intelligent casino chip system and method for use thereof
US6061449A (en) 1997-10-10 2000-05-09 General Instrument Corporation Secure processor with external memory using block chaining and block re-ordering
US6402142B1 (en) 1997-10-14 2002-06-11 David Warren Method for handling of cards in a dealer shoe, and a dealer shoe
US6272223B1 (en) 1997-10-28 2001-08-07 Rolf Carlson System for supplying screened random numbers for use in recreational gaming in a casino or over the internet
US5851011A (en) 1997-10-31 1998-12-22 Lott; A. W. Multi-deck poker progressive wagering system with multiple winners and including jackpot, bust, and insurance options
US6053695A (en) 1997-12-02 2000-04-25 Ite, Inc. Tortilla counter-stacker
US20020030425A1 (en) 1998-02-02 2002-03-14 500 Group Inc. Rolling containers assembly
WO1999043404A1 (en) 1998-02-26 1999-09-02 Smart Shoes, Inc. Card dispensing shoe with scanner apparatus, system and method therefor
US6616535B1 (en) 1998-03-09 2003-09-09 Schlumberger Systems IC card system for a game machine
US6722974B2 (en) 1998-03-11 2004-04-20 Digideal Corporation Automated system for playing live casino table games having tabletop changeable playing card displays and play monitoring security features
US20070049368A1 (en) 1998-03-11 2007-03-01 Kuhn Michael J Gaming tables with multiple player positions and common display
US20090253503A1 (en) 1998-03-11 2009-10-08 David A Krise Electronic game system with player-controllable security for display images
US7048629B2 (en) 1998-03-11 2006-05-23 Digideal Corporation Automated system for playing casino games having changeable displays and play monitoring security features
US7255642B2 (en) 1998-03-11 2007-08-14 Sines Randy D Automated system for playing live casino table games having tabletop changeable playing card displays and play monitoring security features
US6651985B2 (en) 1998-03-11 2003-11-25 Digideal Corporation Automated system for playing live casino table games having tabletop changeable playing card displays and play monitoring security features
US6270404B2 (en) 1998-03-11 2001-08-07 Digideal Corporation Automated system for playing live casino table games having tabletop changeable playing card displays and play monitoring security features
US6165069A (en) 1998-03-11 2000-12-26 Digideal Corporation Automated system for playing live casino table games having tabletop changeable playing card displays and monitoring security features
US20080217218A1 (en) 1998-03-13 2008-09-11 Johnson Rodney G Shuffling apparatus and method
US20070272600A1 (en) 1998-03-13 2007-11-29 Shuffle Master Shuffling apparatus and method
US8381918B2 (en) 1998-03-13 2013-02-26 Shfl Entertainment, Inc. Shuffling apparatuses
US20100244376A1 (en) 1998-03-13 2010-09-30 Johnson Rodney G Shuffling apparatus and method
US7137627B2 (en) 1998-04-15 2006-11-21 Attila Grauzer Device and method for continuously shuffling and monitoring cards
US8505916B2 (en) 1998-04-15 2013-08-13 Shfl Entertainment, Inc. Methods of randomizing cards
US7234698B2 (en) 1998-04-15 2007-06-26 Shuffle Master, Inc. Device and method for continuously shuffling and monitoring cards
US6588750B1 (en) 1998-04-15 2003-07-08 Shuffle Master, Inc. Device and method for forming hands of randomly arranged decks of cards
US6588751B1 (en) 1998-04-15 2003-07-08 Shuffle Master, Inc. Device and method for continuously shuffling and monitoring cards
US20020163125A1 (en) 1998-04-15 2002-11-07 Shuffle Master, Inc. Device and method for continuously shuffling and monitoring cards for specialty games
US7255344B2 (en) 1998-04-15 2007-08-14 Shuffle Master, Inc. Device and method for continuously shuffling and monitoring cards
US7073791B2 (en) 1998-04-15 2006-07-11 Shuffle Master, Inc. Hand forming shuffler with on demand hand delivery
US7059602B2 (en) 1998-04-15 2006-06-13 Shuffle Master, Inc. Card shuffler with staging area for collecting groups of cards
US8820745B2 (en) 1998-04-15 2014-09-02 Shfl Entertainment, Inc. Device and method for handling, shuffling, and moving cards
US20050206077A1 (en) 1998-04-15 2005-09-22 Attila Grauzer Device and method for continuously shuffling and monitoring cards for specialty games
US20050146093A1 (en) 1998-04-15 2005-07-07 Shuffle Master, Inc. Card shuffler with user game selection input
US7322576B2 (en) 1998-04-15 2008-01-29 Shuffle Master, Inc. Device and method for continuously shuffling and monitoring cards
WO1999052611A1 (en) 1998-04-15 1999-10-21 Shuffle Master Inc. Device and method for continuously shuffling cards
US20050104289A1 (en) 1998-04-15 2005-05-19 Attila Grauzer Card shuffler with staging area for collecting groups of cards
US20050093231A1 (en) 1998-04-15 2005-05-05 Attila Grauzer Device and method for continuously shuffling and monitoring cards
US20050062229A1 (en) 1998-04-15 2005-03-24 Attila Grauzer Device and method for continuously shuffling and monitoring cards
US20050062228A1 (en) 1998-04-15 2005-03-24 Attila Grauzer Device and method for continuously shuffling and monitoring cards
US20050051956A1 (en) 1998-04-15 2005-03-10 Shuffle Master, Inc. Hand forming shuffler with on demand hand delivery
US20040245720A1 (en) 1998-04-15 2004-12-09 Attila Grauzer Device and method for continuously shuffling and monitoring cards for specialty games
WO1999052610A1 (en) 1998-04-15 1999-10-21 Shuffle Master, Inc. An apparatus for shuffling cards
US7784790B2 (en) 1998-04-15 2010-08-31 Shuffle Master, Inc Device and method for continuously shuffling and monitoring cards
US20040108654A1 (en) 1998-04-15 2004-06-10 Attila Grauzer Device and method for forming and delivering hands from randomly arranged decks of playing cards
US20100320685A1 (en) 1998-04-15 2010-12-23 Attila Grauzer Device and method for continuously shuffling and monitoring cards
US7338044B2 (en) 1998-04-15 2008-03-04 Shuffle Master, Inc. Card shuffler with user game selection input
US20030052450A1 (en) 1998-04-15 2003-03-20 Attila Grauzer Device and method for continuously shuffling and monitoring cards
US20030052449A1 (en) 1998-04-15 2003-03-20 Attila Grauzer Device and method for continuously shuffling and monitoring cards
USD414527S (en) 1998-04-15 1999-09-28 Shuffle Master, Inc. Device for delivering cards
US6254096B1 (en) 1998-04-15 2001-07-03 Shuffle Master, Inc. Device and method for continuously shuffling cards
US20120286471A1 (en) 1998-04-15 2012-11-15 Shuffle Master, Inc. Device and method for handling, shuffling, and moving cards
US6149154A (en) 1998-04-15 2000-11-21 Shuffle Master Gaming Device and method for forming hands of randomly arranged cards
US6655684B2 (en) 1998-04-15 2003-12-02 Shuffle Master, Inc. Device and method for forming and delivering hands from randomly arranged decks of playing cards
US7413191B2 (en) 1998-04-15 2008-08-19 Shuffle Master, Inc. Device and method for forming and delivering hands from randomly arranged decks of playing cards
US7523936B2 (en) 1998-04-15 2009-04-28 Shuffle Master, Inc. Device and method for forming and delivering hands from randomly arranged decks of playing cards
US20110006480A1 (en) 1998-04-15 2011-01-13 Attila Grauzer Card feed mechanism for card handling device
US20030090059A1 (en) 1998-04-15 2003-05-15 Attila Grauzer Device and method for continuously shuffling and monitoring cards
US20030094756A1 (en) 1998-04-15 2003-05-22 Attila Grauzer Device and method for continuously shuffling and monitoring cards
US6267648B1 (en) 1998-05-18 2001-07-31 Tokyo Seimitsu Co. Ltd. Apparatus and method for chamfering wafer
US6050569A (en) 1998-07-10 2000-04-18 Taylor; Elizabeth Method of playing a tile-card game
US6746333B1 (en) 1998-07-22 2004-06-08 Namco Ltd. Game system, game machine and game data distribution device, together with computer-usable information for accessing associated data of a game over a network
US6127447A (en) 1998-07-31 2000-10-03 Fusion Uv Systems, Inc. Photopolymerization process and composition employing a charge transfer complex and cationic photoinitiator
US7113094B2 (en) 1998-08-14 2006-09-26 3M Innovative Properties Company Applications for radio frequency identification systems
US6719634B2 (en) 1998-08-26 2004-04-13 Hitachi, Ltd. IC card, terminal device and service management server
US6941180B1 (en) 1998-08-27 2005-09-06 Addison M. Fischer Audio cassette emulator
US7436957B1 (en) 1998-08-27 2008-10-14 Fischer Addison M Audio cassette emulator with cryptographic media distribution control
US6069564A (en) 1998-09-08 2000-05-30 Hatano; Richard Multi-directional RFID antenna
US6342830B1 (en) 1998-09-10 2002-01-29 Xerox Corporation Controlled shielding of electronic tags
US6609710B1 (en) 1998-09-15 2003-08-26 Michail Order Device for automatic detection of the number of spots on the top side of a dice for use on a professional basis
US6131817A (en) 1998-10-09 2000-10-17 Nbs Technologies, Inc. Plastic card transport apparatus and inspection system
US6842263B1 (en) 1998-10-09 2005-01-11 Ricoh Company, Ltd Print system and printer device facilitating reuse of print data
US6236223B1 (en) 1998-11-09 2001-05-22 Intermec Ip Corp. Method and apparatus for wireless radio frequency testing of RFID integrated circuits
US6658135B1 (en) 1998-11-13 2003-12-02 Hitachi, Ltd. Recording device
US20020135692A1 (en) 1999-01-22 2002-09-26 Nobuhiro Fujinawa Image reading device and storage medium storing control procedure for image reading device
US6446864B1 (en) 1999-01-29 2002-09-10 Jung Ryeol Kim System and method for managing gaming tables in a gaming facility
US20030007143A1 (en) 1999-02-10 2003-01-09 Litel Instruments In-situ source metrology instrument and method of use
US6267671B1 (en) 1999-02-12 2001-07-31 Mikohn Gaming Corporation Game table player comp rating system and method therefor
US6403908B2 (en) 1999-02-19 2002-06-11 Bob Stardust Automated method and apparatus for playing card sequencing, with optional defect detection
US6313871B1 (en) 1999-02-19 2001-11-06 Casino Software & Services Apparatus and method for monitoring gambling chips
AU757636B2 (en) 1999-02-24 2003-02-27 Shuffle Master, Inc. Inspection of playing cards
WO2000051076A1 (en) 1999-02-24 2000-08-31 Dolphin Advanced Technologies Pty. Limited Inspection of playing cards
EP1194888A1 (en) 1999-02-24 2002-04-10 Dolphin Advanced Technologies Pty. Ltd. Inspection of playing cards
US6629894B1 (en) 1999-02-24 2003-10-07 Dolphin Advanced Technologies Pty Ltd. Inspection of playing cards
JP2000251031A (en) 1999-03-01 2000-09-14 Nippon Lsi Card Co Ltd Reader/writer for non-contact ic card and inter-stand ball lending machine for pachinko corporating the same
US6733388B2 (en) 1999-03-12 2004-05-11 Grips Electronics Ges.M.B.H Patron and croupier assessment in roulette
US6527271B2 (en) 1999-04-21 2003-03-04 Mindplay Llc Method and apparatus for monitoring casinos and gaming
US6533276B2 (en) 1999-04-21 2003-03-18 Mindplay Llc Method and apparatus for monitoring casinos and gaming
EP1502631A1 (en) 1999-04-21 2005-02-02 Bally Gaming International, Inc. Card deck reader
US6533662B2 (en) 1999-04-21 2003-03-18 Mindplay Llc Method and apparatus for monitoring casinos and gaming
US6758751B2 (en) 1999-04-21 2004-07-06 Bally Gaming International, Inc. Method and apparatus for monitoring casinos and gaming
US20050119048A1 (en) 1999-04-21 2005-06-02 Bally Gaming International, Inc. Method and apparatus for monitoring casinos and gaming
US7011309B2 (en) 1999-04-21 2006-03-14 Bally Gaming International, Inc. Method and apparatus for monitoring casinos and gaming
US6579181B2 (en) 1999-04-21 2003-06-17 Mindplay Llc Method and apparatus for monitoring casinos and gaming
US6517435B2 (en) 1999-04-21 2003-02-11 Mindplay Llc Method and apparatus for monitoring casinos and gaming
US6520857B2 (en) 1999-04-21 2003-02-18 Mindplay Llc Method and apparatus for monitoring casinos and gaming
US6579180B2 (en) 1999-04-21 2003-06-17 Mindplay Llc Method and apparatus for monitoring casinos and gaming
US6460848B1 (en) 1999-04-21 2002-10-08 Mindplay Llc Method and apparatus for monitoring casinos and gaming
US6663490B2 (en) 1999-04-21 2003-12-16 Mindplay Llc Method and apparatus for monitoring casinos and gaming
US6517436B2 (en) 1999-04-21 2003-02-11 Mindplay Llc Method and apparatus for monitoring casinos and gaming
US6595857B2 (en) 1999-04-21 2003-07-22 Mindplay Llc Method and apparatus for monitoring casinos and gaming
US20020045481A1 (en) 1999-04-21 2002-04-18 Mindplay Llc Method and apparatus for monitoring casinos and gaming
US20020045478A1 (en) 1999-04-21 2002-04-18 Mindplay Llc Method and apparatus for monitoring casinos and gaming
US20060199649A1 (en) 1999-04-21 2006-09-07 Bally Gaming International, Inc. Method and apparatus for monitoring casinos and gaming
US6530837B2 (en) 1999-04-21 2003-03-11 Mindplay Llc Method and apparatus for monitoring casinos and gaming
US6530836B2 (en) 1999-04-21 2003-03-11 Mindplay Llc Method and apparatus for monitoring casinos and gaming
US7316615B2 (en) 1999-04-21 2008-01-08 Bally Gaming International, Inc. Method and apparatus for monitoring casinos and gaming
US6712696B2 (en) 1999-04-21 2004-03-30 Mindplay Llc Method and apparatus for monitoring casinos and gaming
US6688979B2 (en) 1999-04-21 2004-02-10 Mindplay, Llcc Method and apparatus for monitoring casinos and gaming
US6732067B1 (en) 1999-05-12 2004-05-04 Unisys Corporation System and adapter card for remote console emulation
US6690673B1 (en) 1999-05-27 2004-02-10 Jeffeerson J. Jarvis Method and apparatus for a biometric transponder based activity management system
US20010036231A1 (en) 1999-06-08 2001-11-01 Venkat Easwar Digital camera device providing improved methodology for rapidly taking successive pictures
US6386973B1 (en) 1999-06-16 2002-05-14 Shuffle Master, Inc. Card revelation system
US20030087694A1 (en) 1999-06-17 2003-05-08 Leonard Storch System for machine reading and processing information from gaming chips
US7124947B2 (en) 1999-06-17 2006-10-24 Cias, Inc. Self-clocking n,k code word without start or stop
US6514140B1 (en) 1999-06-17 2003-02-04 Cias, Inc. System for machine reading and processing information from gaming chips
US6508709B1 (en) 1999-06-18 2003-01-21 Jayant S. Karmarkar Virtual distributed multimedia gaming method and system based on actual regulated casino games
US6893347B1 (en) 1999-07-09 2005-05-17 Nokia Corporation Method and apparatus for playing games between the clients of entities at different locations
US7068822B2 (en) 1999-08-09 2006-06-27 Cross Match Technologies, Inc. System and method for sending a packet with position address and line scan data over an interface cable
USD432588S (en) 1999-08-30 2000-10-24 Shuffle Master, Inc. Card shuffling apparatus
US20020113368A1 (en) 1999-09-08 2002-08-22 Lynn Hessing Remote controlled multiple mode and multi-game card shuffling device
US6719288B2 (en) 1999-09-08 2004-04-13 Vendingdata Corporation Remote controlled multiple mode and multi-game card shuffling device
US6293546B1 (en) 1999-09-08 2001-09-25 Casinovations Incorporated Remote controller device for shuffling machine
US6659461B2 (en) 1999-09-13 2003-12-09 Shuffle Master, Inc. Method of playing a table card game with an electronic multiplier bonus feature and apparatus for playing the game
US6622185B1 (en) 1999-09-14 2003-09-16 Innovative Gaming Corporation Of America System and method for providing a real-time programmable interface to a general-purpose non-real-time computing system
US20010036866A1 (en) 1999-10-06 2001-11-01 International Game Technology Standard peripheral communications
US6443839B2 (en) 1999-10-06 2002-09-03 Igt Standard peripheral communications
US20020187830A1 (en) 1999-10-06 2002-12-12 International Gaming Technology Standard peripheral communication
US6585586B1 (en) 1999-11-03 2003-07-01 Baccarat Plus Enterprises, Inc. Automated baccarat gaming assembly
US6293864B1 (en) 1999-11-03 2001-09-25 Baccarat Plus Enterprises, Inc. Method and assembly for playing a variation of the game of baccarat
US6582302B2 (en) 1999-11-03 2003-06-24 Baccarat Plus Enterprises, Inc. Automated baccarat gaming assembly
US6250632B1 (en) 1999-11-23 2001-06-26 James Albrecht Automatic card sorter
US6341778B1 (en) 1999-11-29 2002-01-29 John S. Lee Method for playing pointspread blackjack
US7357321B2 (en) 1999-12-03 2008-04-15 Sega Corporation Card stack reader, card thereof, card case, method for manufacturing card, game machine using the same, computer-readable storage medium on which game program is recorded
US7556197B2 (en) 1999-12-03 2009-07-07 Sega Corporation Card stack reader, card thereof, card case, method for manufacturing card, game machine using the same, computer-readable storage medium on which game program is recorded
US6619662B2 (en) 1999-12-08 2003-09-16 Gold Coin Gaming Inc. Wager sensor and system thereof
US20020107067A1 (en) 2000-01-05 2002-08-08 International Gaming Technology Slot reel controller as a peripheral device
US6848994B1 (en) 2000-01-17 2005-02-01 Genesis Gaming Solutions, Inc. Automated wagering recognition system
WO2001056670A1 (en) 2000-02-01 2001-08-09 Angel Co.,Ltd Playing card identifying device
US6581747B1 (en) 2000-02-15 2003-06-24 Etablissements Bourgogne Et Grasset Token with an electronic chip and methods for manufacturing the same
US6361044B1 (en) 2000-02-23 2002-03-26 Lawrence M. Block Card dealer for a table game
US6688597B2 (en) 2000-03-15 2004-02-10 Mark Hamilton Jones Casino style game of chance apparatus
JP2001327647A (en) 2000-03-16 2001-11-27 Sega Corp Card shuffling device
US6950948B2 (en) 2000-03-24 2005-09-27 Votehere, Inc. Verifiable, secret shuffles of encrypted data, such as elgamal encrypted data for secure multi-authority elections
US20090189346A1 (en) 2000-04-12 2009-07-30 Peter Krenn Swivel mounted card handing device
USRE42944E1 (en) 2000-04-12 2011-11-22 Shuffle Master Gmbh & Co Kg Card shuffling device
US20030047870A1 (en) 2000-04-12 2003-03-13 Ernst Blaha Card shuffling device
US6659460B2 (en) 2000-04-12 2003-12-09 Card-Casinos Austria Research & Development-Casinos Austria Forschungs-Und Entwicklungs Gmbh Card shuffling device
US20140145399A1 (en) 2000-04-12 2014-05-29 Shuffle Master Gmbh & Co Kg. Card-handling devices and systems
US7946586B2 (en) 2000-04-12 2011-05-24 Shuffle Master Gmbh & Co Kg Swivel mounted card handling device
US6848844B2 (en) 2000-04-28 2005-02-01 Hewlett-Packard Development Company, L.P. Greeting card feeder module for inkjet printing
US7773749B1 (en) 2000-05-24 2010-08-10 Tracer Detection Technology Corp. Authentication method and system
US7089420B1 (en) 2000-05-24 2006-08-08 Tracer Detection Technology Corp. Authentication method and system
US7162035B1 (en) 2000-05-24 2007-01-09 Tracer Detection Technology Corp. Authentication method and system
US8270603B1 (en) 2000-05-24 2012-09-18 Tracer Detection Technology Corp. Authentication method and system
US20020094869A1 (en) 2000-05-29 2002-07-18 Gabi Harkham Methods and systems of providing real time on-line casino games
US6702290B2 (en) 2000-07-10 2004-03-09 Blas Buono-Correa Spanish match table and related methods of play
US6659875B2 (en) 2000-07-13 2003-12-09 Dolphin Advanced Technologies Pty Ltd. Identification token
WO2002005914A1 (en) 2000-07-14 2002-01-24 Smart Shoes, Inc. System including card game dispensing shoe with barrier and scanner, and enhanced card gaming table, enabling waging by remote bettors
US7139108B2 (en) 2000-07-20 2006-11-21 Hewlett-Packard Development Company, L.P. Single automatic document feeder sensor for media leading edge and top cover being opened detection
US6676517B2 (en) 2000-08-04 2004-01-13 Anthony Beavers System and method of data handling for table games
US6726205B1 (en) 2000-08-15 2004-04-27 Vendingdata Corporation Inspection of playing cards
US6629019B2 (en) 2000-09-18 2003-09-30 Amusement Soft, Llc Activity management system
US20070072677A1 (en) 2000-10-13 2007-03-29 Lavoie James R Systems and methods for gaming from an off-site location
US7128652B1 (en) 2000-10-13 2006-10-31 Oneida Indian Nation System, method, and article of manufacture for gaming from an off-site location
US6561897B1 (en) 2000-10-17 2003-05-13 Shuffle Master, Inc. Casino poker game table that implements play of a casino table poker game
US7341510B2 (en) 2000-10-17 2008-03-11 Shuffle Master, Inc. Casino poker game table that implements play of a casino table poker game
US6804763B1 (en) 2000-10-17 2004-10-12 Igt High performance battery backed ram interface
US6955599B2 (en) 2000-10-17 2005-10-18 Shuffle Master, Inc. Casino poker game table that implements play of a casino table poker game
US6645077B2 (en) 2000-10-19 2003-11-11 Igt Gaming terminal data repository and information distribution system
US20120095982A1 (en) 2000-11-13 2012-04-19 Lennington John W Digital Media Recognition Apparatus and Methods
JP2002165916A (en) 2000-11-30 2002-06-11 Nippon Bmc:Kk Card game machine
US7515718B2 (en) 2000-12-07 2009-04-07 Igt Secured virtual network in a gaming environment
US6637622B1 (en) 2000-12-18 2003-10-28 Joseph D. Robinson Card dispenser apparatus and protective guard therefor
US6758757B2 (en) 2000-12-20 2004-07-06 Sierra Design Group Method and apparatus for maintaining game state
US6652379B2 (en) 2001-01-04 2003-11-25 Mindplay Llc Method, apparatus and article for verifying card games, such as blackjack
US6629591B1 (en) 2001-01-12 2003-10-07 Igt Smart token
US20070197298A1 (en) 2001-02-02 2007-08-23 Igt Wide area program distribution and game information communication system
US7186181B2 (en) 2001-02-02 2007-03-06 Igt Wide area program distribution and game information communication system
US20110159953A1 (en) 2001-02-06 2011-06-30 NexRf Corporation Network access device and method to run a game application
US20110159952A1 (en) 2001-02-06 2011-06-30 NexRf Corporation Gaming system network and method for delivering gaming media
US20110165936A1 (en) 2001-02-06 2011-07-07 NexRf Corporation Gaming system network and method for delivering gaming media
US6749510B2 (en) 2001-02-07 2004-06-15 Wms Gaming Inc. Centralized gaming system with modifiable remote display terminals
US20020107072A1 (en) 2001-02-07 2002-08-08 Giobbi John J. Centralized gaming system with modifiable remote display terminals
US20080032763A1 (en) 2001-02-07 2008-02-07 Wms Gaming Inc. Centralized gaming system with modifiable femote display terminals
US20040180722A1 (en) 2001-02-07 2004-09-16 Giobbi John J. Centralized gaming system with modifiable remote display terminals
US6612928B1 (en) 2001-02-15 2003-09-02 Sierra Design Group Player identification using biometric data in a gaming environment
US6685568B2 (en) 2001-02-21 2004-02-03 Mindplay Llc Method, apparatus and article for evaluating card games, such as blackjack
US6857961B2 (en) 2001-02-21 2005-02-22 Bally Gaming International, Inc. Method, apparatus and article for evaluating card games, such as blackjack
US6638161B2 (en) 2001-02-21 2003-10-28 Mindplay Llc Method, apparatus and article for verifying card games, such as playing card distribution
US20020155869A1 (en) 2001-02-21 2002-10-24 Mindplay Llc Method, apparatus and article for verifying card games, such as playing card distribution
US6964612B2 (en) 2001-02-21 2005-11-15 Bally Gaming International, Inc. Method, apparatus and article for evaluating card games, such as blackjack
US6666768B1 (en) 2001-03-06 2003-12-23 David J. Akers System and method for tracking game of chance proceeds
US7203841B2 (en) 2001-03-08 2007-04-10 Igt Encryption in a secure computerized gaming system
US20020142820A1 (en) 2001-03-09 2002-10-03 Bartlett Lawrence E. System and method for combining playing card values, sight unseen
US7175522B2 (en) 2001-03-22 2007-02-13 Shuffle Master, Inc. Combination wagering game
US6585588B2 (en) 2001-03-22 2003-07-01 Shuffle Master, Inc. Multiple play high card game with insurance bet
US7360094B2 (en) 2001-03-24 2008-04-15 Demoxi, Inc. Verifiable secret shuffles and their application to electronic voting
US7780529B2 (en) 2001-04-04 2010-08-24 Igt System, method and interface for monitoring player game play in real time
US6671358B1 (en) 2001-04-25 2003-12-30 Universal Identity Technologies, Inc. Method and system for rewarding use of a universal identifier, and/or conducting a financial transaction
US6774782B2 (en) 2001-04-27 2004-08-10 Battelle Memorial Institute Radio frequency personnel alerting security system and method
US6626757B2 (en) 2001-05-21 2003-09-30 R. Martin Oliveras Poker playing system using real cards and electronic chips
US20030048476A1 (en) 2001-05-25 2003-03-13 Shinji Yamakawa Image-processing device processing image data by judging a detected and expanded Medium-density field as a non-character edge field
US6490277B1 (en) 2001-06-04 2002-12-03 Adc Telecommunications, Inc. Digital cross-connect system employing patch access locking and redundant supply power
US20020187821A1 (en) 2001-06-08 2002-12-12 Mindplay Llc Method, apparatus and article for random sequence generation and playing card distribution
US7686681B2 (en) 2001-06-08 2010-03-30 Igt Systems, methods and articles to facilitate playing card games with selectable odds
US8016663B2 (en) 2001-06-08 2011-09-13 The United States Playing Card Company Method, apparatus and article for random sequence generation and playing card distribution
US7390256B2 (en) 2001-06-08 2008-06-24 Arl, Inc. Method, apparatus and article for random sequence generation and playing card distribution
US6709333B1 (en) 2001-06-20 2004-03-23 Sierra Design Group Player identification using biometric data in a gaming environment
US20030003997A1 (en) 2001-06-29 2003-01-02 Vt Tech Corp. Intelligent casino management system and method for managing real-time networked interactive gaming systems
US20100197410A1 (en) 2001-07-13 2010-08-05 Leen Fergus A System and method for providing enhanced services to a user of a gaming application
US6899628B2 (en) 2001-07-13 2005-05-31 Game Account Limited System and method for providing game event management to a user of a gaming application
US7201656B2 (en) 2001-07-23 2007-04-10 California Indian Legal Services Method and apparatus for simulating games of chance with the use of a set of cards, including a wildcard, to replace use of dice
US6769693B2 (en) 2001-07-26 2004-08-03 B.C.D. Mécanique Ltée Method and system for playing a casino game
US6685567B2 (en) 2001-08-08 2004-02-03 Igt Process verification
US6733012B2 (en) 2001-08-16 2004-05-11 Hong Bui Method of playing a card game with multiple wager options
US6988516B2 (en) 2001-08-29 2006-01-24 N.V. Michel Van De Wiele Device for driving and guiding a rapier of a weaving machine
US6585856B2 (en) 2001-09-25 2003-07-01 Kimberly-Clark Worldwide, Inc. Method for controlling degree of molding in through-dried tissue products
US20100276880A1 (en) 2001-09-28 2010-11-04 Attila Grauzer Multiple mode card shuffler and card reading device
US7661676B2 (en) 2001-09-28 2010-02-16 Shuffle Master, Incorporated Card shuffler with reading capability integrated into multiplayer automated gaming table
US8038521B2 (en) 2001-09-28 2011-10-18 Shuffle Master, Inc. Card shuffling apparatus with automatic card size calibration during shuffling
US7036818B2 (en) 2001-09-28 2006-05-02 Shuffle Master, Inc. Card shuffling apparatus with automatic card size calibration
US8025294B2 (en) 2001-09-28 2011-09-27 Shuffle Master, Inc. Card shuffler with card rank and value reading capability
US8011661B2 (en) 2001-09-28 2011-09-06 Shuffle Master, Inc. Shuffler with shuffling completion indicator
US7988554B2 (en) 2001-09-28 2011-08-02 Igt Game development architecture that decouples the game logic from the graphics logic
US8556263B2 (en) 2001-09-28 2013-10-15 Shfl Entertainment, Inc. Card shuffler with card rank and value reading capability
US20110285081A1 (en) 2001-09-28 2011-11-24 Stasson James B Shuffler with Shuffling Completion Indicator
US20070102879A1 (en) 2001-09-28 2007-05-10 Shuffle Master, Inc. Shuffler with shuffling completion indicator
US20030064798A1 (en) 2001-09-28 2003-04-03 Shuffle Master, Inc. Method and apparatus for using upstream communication in a card shuffler
US20130109455A1 (en) 2001-09-28 2013-05-02 Shfl Entertainment, Inc. Method and apparatus for using upstream communication in a card shuffler
US7931533B2 (en) 2001-09-28 2011-04-26 Igt Game development architecture that decouples the game logic from the graphics logics
US7384044B2 (en) 2001-09-28 2008-06-10 Shuffle Master, Inc Card shuffling apparatus with automatic card size calibration
US8444147B2 (en) 2001-09-28 2013-05-21 Shfl Entertainment, Inc. Multiple mode card shuffler and card reading device
US20080113700A1 (en) 2001-09-28 2008-05-15 Zbigniew Czyzewski Methods and apparatuses for an automatic card handling device and communication networks including same
US20040067789A1 (en) 2001-09-28 2004-04-08 Shuffle Master, Inc. Card shuffler with card rank and value reading capability
US20130228972A1 (en) 2001-09-28 2013-09-05 Shfl Entertainment, Inc. Method and Apparatus for Card Handling Device Calibration
US20030073498A1 (en) 2001-09-28 2003-04-17 Shuffle Master, Inc. Card shuffling apparatus with automatic card size calibration
US20030075865A1 (en) 2001-09-28 2003-04-24 Shuffle Master, Inc. Card shuffling apparatus with integral card delivery
US7677565B2 (en) 2001-09-28 2010-03-16 Shuffle Master, Inc Card shuffler with card rank and value reading capability
US20050192092A1 (en) 2001-09-28 2005-09-01 Igt Decoupling of the graphical presentation of a game from the presentation logic
US8616552B2 (en) 2001-09-28 2013-12-31 Shfl Entertainment, Inc. Methods and apparatuses for an automatic card handling device and communication networks including same
US6680843B2 (en) 2001-09-28 2004-01-20 International Business Machines Corporation All-in-one personal computer with tool-less quick-release features for various elements thereof including a reusable thin film transistor monitor
US20050023752A1 (en) 2001-09-28 2005-02-03 Atilla Grauzer Card shuffling apparatus with automatic card size calibration
US7523935B2 (en) 2001-09-28 2009-04-28 Shuffle Master, Inc. Card shuffling apparatus with integral card delivery
US20080096656A1 (en) 2001-09-28 2008-04-24 Igt Game development architecture that decouples the game logic from the graphics logic
US20040224777A1 (en) 2001-09-28 2004-11-11 Shuffle Master, Inc. Card shuffler with reading capability integrated into multiplayer automated gaming table
US8337296B2 (en) 2001-09-28 2012-12-25 SHFL entertaiment, Inc. Method and apparatus for using upstream communication in a card shuffler
US8419521B2 (en) 2001-09-28 2013-04-16 Shfl Entertainment, Inc. Method and apparatus for card handling device calibration
US7753373B2 (en) 2001-09-28 2010-07-13 Shuffle Master, Inc. Multiple mode card shuffler and card reading device
US8899587B2 (en) 2001-09-28 2014-12-02 Bally Gaming, Inc. Multiple mode card shuffler and card reading device
US20060281534A1 (en) 2001-09-28 2006-12-14 Shuffle Master, Inc. Card shuffling apparatus with automatic card size calibration during shuffling
US20030067112A1 (en) 2001-09-28 2003-04-10 Shuffle Master,Inc. Card shuffling apparatus with integral card delivery
US20140183818A1 (en) 2001-09-28 2014-07-03 Shfl Entertainment, Inc. Methods and Apparatuses for an Automatic Card Handling Device and Communication Networks Including Same
US6651981B2 (en) 2001-09-28 2003-11-25 Shuffle Master, Inc. Card shuffling apparatus with integral card delivery
US20050082750A1 (en) 2001-09-28 2005-04-21 Shuffle Master, Inc. Round of play counting in playing card shuffling system
US20050104290A1 (en) 2001-09-28 2005-05-19 Shuffle Master, Inc. Multiple mode card shuffler and card reading device
US20040169332A1 (en) 2001-09-28 2004-09-02 Attila Grauzer Card shuffling apparatus with integral card delivery
US6651982B2 (en) 2001-09-28 2003-11-25 Shuffle Master, Inc. Card shuffling apparatus with integral card delivery
US7744452B2 (en) 2001-10-11 2010-06-29 Waterleaf Limited Concurrent gaming apparatus and method
US7367561B2 (en) 2001-10-11 2008-05-06 Shuffle Master, Inc. Card shuffler
US20030071413A1 (en) 2001-10-11 2003-04-17 Card-Casinos Austria R& D-Casinos Austria Forschungs- Und Entwicklungsges, M.B.H. Card shuffler
US6889979B2 (en) 2001-10-19 2005-05-10 Shuffle Master Gmbh & Co Kg Card shuffler
US20030075866A1 (en) 2001-10-19 2003-04-24 Card-Casinos Austria R&D-Casinos Austria Forschungs-Und Entwicklungsges, M.B.H. Card shuffler
US7297062B2 (en) 2001-11-23 2007-11-20 Cyberview Technology, Inc. Modular entertainment and gaming systems configured to consume and provide network services
US20050012671A1 (en) 2001-11-26 2005-01-20 Martin Bisig Vhf wave receiver antenna housed in a wristband of a portable electronic device
US6834251B1 (en) 2001-12-06 2004-12-21 Richard Fletcher Methods and devices for identifying, sensing and tracking objects over a surface
US20040259618A1 (en) 2001-12-13 2004-12-23 Arl, Inc. Method, apparatus and article for random sequence generation and playing card distribution
US7084769B2 (en) 2002-01-09 2006-08-01 Vue Technology, Inc. Intelligent station using multiple RF antennae and inventory control system and method incorporating same
US7243148B2 (en) 2002-01-15 2007-07-10 Mcafee, Inc. System and method for network vulnerability detection and reporting
US7257630B2 (en) 2002-01-15 2007-08-14 Mcafee, Inc. System and method for network vulnerability detection and reporting
JP2005198668A (en) 2002-01-21 2005-07-28 Matsui Gaming Machine:Kk Card shuffling apparatus
US7222852B2 (en) 2002-02-06 2007-05-29 Ball Gaming International, Inc. Method, apparatus and article employing multiple machine-readable indicia on playing cards
US6843725B2 (en) 2002-02-06 2005-01-18 Igt Method and apparatus for monitoring or controlling a gaming machine based on gaming machine location
US20030151194A1 (en) 2002-02-08 2003-08-14 Lynn Hessing Image capturing card shuffler
US8720891B2 (en) 2002-02-08 2014-05-13 Shfl Entertainment, Inc. Image capturing card shuffler
US6886829B2 (en) 2002-02-08 2005-05-03 Vendingdata Corporation Image capturing card shuffler
US7976023B1 (en) 2002-02-08 2011-07-12 Shuffle Master, Inc. Image capturing card shuffler
US6957746B2 (en) 2002-02-15 2005-10-25 Coinstar, Inc. Apparatuses and methods for dispensing magnetic cards, integrated circuit cards, and other similar items
US7020307B2 (en) 2002-02-15 2006-03-28 Inco Limited Rock fragmentation analysis system
US7303473B2 (en) 2002-02-25 2007-12-04 Igt Network gaming system
JP2003250950A (en) 2002-02-28 2003-09-09 Danbonetto Systems Kk Card housing box for distribution
US7028598B2 (en) 2002-03-22 2006-04-18 Kabushiki Kaisha Tokyo Kikai Seisakusho Apparatus for longitudinally perforating a web of paper in a rotary printing press
US20040015423A1 (en) 2002-04-19 2004-01-22 Walker Jay S. Method and apparatus for managing performance of multiple games
US6959935B2 (en) 2002-05-02 2005-11-01 ZF Lemförder Metallwaren AG Steering triangle
US7584966B2 (en) 2002-05-20 2009-09-08 Shuffle Master, Inc Four card poker and associated games
US6747560B2 (en) 2002-06-27 2004-06-08 Ncr Corporation System and method of detecting movement of an item
US6877657B2 (en) 2002-06-28 2005-04-12 First Data Corporation Methods and systems for production of transaction cards
US6655690B1 (en) 2002-08-09 2003-12-02 Anthony Oskwarek Method for playing a casino card game
US20040036214A1 (en) 2002-08-23 2004-02-26 Thompson Baker Automatic card shuffler
US20060220313A1 (en) 2002-08-23 2006-10-05 Thompson Baker Automatic card shuffler
US6959925B1 (en) 2002-08-23 2005-11-01 Vendingdata Corporation Automatic card shuffler
US7644923B1 (en) 2002-08-23 2010-01-12 Shuffle Master, Inc. Automatic card shuffler with dynamic de-doubler
US7461843B1 (en) 2002-08-23 2008-12-09 Elixir Gaming Technologies, Inc. Automatic card shuffler
US7594660B2 (en) 2002-08-23 2009-09-29 Shuffle Master, Inc. Automatic card shuffler
US7669852B2 (en) 2002-08-23 2010-03-02 Shuffle Master, Inc. Automatic card shuffler
US6698756B1 (en) 2002-08-23 2004-03-02 Vendingdata Corporation Automatic card shuffler
US7066464B2 (en) 2002-08-23 2006-06-27 Blad Steven J Automatic card shuffler
US20060220312A1 (en) 2002-08-23 2006-10-05 Thompson Baker Automatic card shuffler
US8171567B1 (en) 2002-09-04 2012-05-01 Tracer Detection Technology Corp. Authentication method and system
US7399226B2 (en) 2002-09-12 2008-07-15 Igt Matching symbol game associated with slot machine
US6960134B2 (en) 2002-09-12 2005-11-01 Igt Alternative bonus games associated with slot machine
US20040116179A1 (en) 2002-09-18 2004-06-17 Nicely Mark C. Interactive streak game
US7867080B2 (en) 2002-09-18 2011-01-11 Igt Interactive streak game
US6702289B1 (en) 2002-10-08 2004-03-09 New Vision Gaming And Development, Inc. Pai Gow poker-type card game of chance using a random number generator with a side bet
US20090312093A1 (en) 2002-10-09 2009-12-17 Walker Jay S Method and apparatus for authenticating data relating to usage of a gaming device
US6808173B2 (en) 2002-10-15 2004-10-26 Shuffle Master, Inc. Blackjack game with side wager on displayed cards
US20050035548A1 (en) 2002-10-15 2005-02-17 Shuffle Master, Inc. Interactive simulated blackjack game with side bet apparatus and in method
US7255351B2 (en) 2002-10-15 2007-08-14 Shuffle Master, Inc. Interactive simulated blackjack game with side bet apparatus and in method
US6840517B2 (en) 2002-10-21 2005-01-11 Roger M. Snow Poker game with bonus payouts
US6923446B2 (en) 2002-10-31 2005-08-02 Shuffle Master, Inc. Wagering game with table bonus
US6938900B2 (en) 2002-11-12 2005-09-06 Shuffle Master, Inc. Method of playing a poker-type wagering game with multiple betting options
US7202888B2 (en) 2002-11-19 2007-04-10 Hewlett-Packard Development Company, L.P. Electronic imaging device resolution enhancement
US6877748B1 (en) 2002-11-25 2005-04-12 Anthony F. Patroni Method for playing modified blackjack with poker option
US20060027970A1 (en) 2002-11-26 2006-02-09 Kyrychenko Olexandr I Gaming equipment for table games using playing cards and tokens, in particular for black jack
US7804982B2 (en) 2002-11-26 2010-09-28 L-1 Secure Credentialing, Inc. Systems and methods for managing and detecting fraud in image databases used with identification documents
US20040100026A1 (en) 2002-11-27 2004-05-27 Emmitt Haggard Blackjack playing card system
US20110130190A1 (en) 2002-12-02 2011-06-02 Hamman Robert D Authentication of Game Results
US7309065B2 (en) 2002-12-04 2007-12-18 Shuffle Master, Inc. Interactive simulated baccarat side bet apparatus and method
US20060189381A1 (en) 2002-12-04 2006-08-24 Daniel David A Collusion detection and control
US6789801B2 (en) 2002-12-04 2004-09-14 Shuffle Master, Inc. Baccarat side wager game
US7294056B2 (en) 2002-12-23 2007-11-13 Gametech International, Inc. Enhanced gaming system
WO2004067889A1 (en) 2003-01-28 2004-08-12 Rationel Vinduer A/S Relief fitting and hinge set with relief fitting
US6905121B1 (en) 2003-02-10 2005-06-14 Mike Timpano Apparatus and method for selectively permitting and restricting play in a card game
US6802510B1 (en) 2003-02-28 2004-10-12 Jose Cherem Haber Card game
US6874784B1 (en) 2003-03-07 2005-04-05 Rocco R. Promutico Method for playing a card game
US7464934B2 (en) 2003-03-10 2008-12-16 Andrew Schwartz Method of playing game
US6848616B2 (en) 2003-03-11 2005-02-01 Zih Corp., A Delaware Corporation With Its Principal Office In Hamilton, Bermuda System and method for selective communication with RFID transponders
US20050026680A1 (en) 2003-06-26 2005-02-03 Prem Gururajan System, apparatus and method for automatically tracking a table game
WO2004112923A1 (en) 2003-06-26 2004-12-29 Tangam Gaming Technology Inc. System, apparatus and method for automatically tracking a table game
US20090091078A1 (en) 2003-07-17 2009-04-09 Shuffle Master, Inc. Intelligent baccarat shoe
US7213812B2 (en) 2003-07-17 2007-05-08 Shuffle Master, Inc. Intelligent baccarat shoe
US20050051955A1 (en) 2003-07-17 2005-03-10 Shuffle Master, Inc. Intelligent baccarat shoe
US20050242500A1 (en) 2003-07-17 2005-11-03 Shuffle Master, Inc. Unique sensing system and method for reading playing cards
US20050113166A1 (en) 2003-07-17 2005-05-26 Shuffle Master, Inc. Discard rack with card reader for playing cards
US7374170B2 (en) 2003-07-17 2008-05-20 Shuffle Master, Inc. Playing card dealing shoe with automated internal card feeding and card reading
US20070267812A1 (en) 2003-07-17 2007-11-22 Shuffle Master, Inc. Discard rack with card reader for playing cards
US20090054161A1 (en) 2003-07-17 2009-02-26 Schubert Oliver M Modular dealing shoe for casino table card games
US7264241B2 (en) 2003-07-17 2007-09-04 Shuffle Master, Inc. Intelligent baccarat shoe
US8150158B2 (en) 2003-07-17 2012-04-03 Shuffle Master, Inc. Unique sensing system and apparatus for reading playing cards
US7597623B2 (en) 2003-07-17 2009-10-06 Shuffle Master, Inc. Smart discard rack for playing cards
US7029009B2 (en) 2003-07-17 2006-04-18 Shuffle Master, Inc. Playing card dealing shoe with automated internal card feeding and card reading
US7114718B2 (en) 2003-07-17 2006-10-03 Shuffle Master, Inc. Smart table card hand identification method and apparatus
US7278923B2 (en) 2003-07-17 2007-10-09 Shuffle Master, Inc. Smart discard rack for playing cards
US6874786B2 (en) 2003-07-17 2005-04-05 Shuffle Master, Inc. Blackjack game with side wager on displayed cards
US7407438B2 (en) 2003-07-17 2008-08-05 Shuffle Master, Inc Modular dealing shoe for casino table card games
US8002638B2 (en) 2003-07-17 2011-08-23 Shuffle Master, Inc. Smart discard rack for playing cards
US7769232B2 (en) 2003-07-17 2010-08-03 Shuffle Master, Inc. Unique sensing system and method for reading playing cards
US20060063577A1 (en) 2003-07-17 2006-03-23 Shuffle Master, Inc. System for monitoring the game of baccarat
US20050062227A1 (en) 2003-07-17 2005-03-24 Shuffle Master, Inc. Intelligent Baccarat shoe
US20060033269A1 (en) 2003-07-17 2006-02-16 Attila Grauzer Playing card dealing shoe with automated internal card feeding and card reading
US20060033270A1 (en) 2003-07-17 2006-02-16 Attila Grauzer Playing card dealing shoe with automated internal card feeding and card reading
US7434805B2 (en) 2003-07-17 2008-10-14 Shuffle Master, Inc Intelligent baccarat shoe
US7338362B1 (en) 2003-07-25 2008-03-04 Gallagher Thomas B Card game
US20080176627A1 (en) 2003-07-28 2008-07-24 Igt Methods and apparatus for remote gaming
US7909689B2 (en) 2003-07-28 2011-03-22 Igt Methods and apparatus for remote gaming
US7458582B2 (en) 2003-08-07 2008-12-02 Shuffle Master, Inc. 6-5-4 casino table poker game
US20050037843A1 (en) 2003-08-11 2005-02-17 William Wells Three-dimensional image display for a gaming apparatus
US7540498B2 (en) 2003-08-15 2009-06-02 The Pala Band Of Mission Indians Systems and methods for card games that simulate non-card casino table games
US7165769B2 (en) 2003-08-15 2007-01-23 The Pala Band Of Mission Indians Systems and methods for card games that simulate non-card casino table games
US7677566B2 (en) 2003-08-19 2010-03-16 Shuffle Master Gmbh & Co. Kg Pre-shuffler for a playing card shuffling machine
US20050040594A1 (en) 2003-08-19 2005-02-24 Peter Krenn Pre-shuffler for a playing card shuffling machine
US7584963B2 (en) 2003-08-19 2009-09-08 Shuffle Master Gmbh & Co Kg Pre-shuffler for a playing card shuffling machine
US6986514B2 (en) 2003-08-22 2006-01-17 Shuffle Master, Inc. Poker game played against multiple dealer hands
US20070184905A1 (en) 2003-09-04 2007-08-09 Cyberview Technology, Inc. Universal game server
US20050137005A1 (en) 2003-09-05 2005-06-23 Bally Gaming International, Inc. Systems, methods, and devices for monitoring card games, such as Baccarat
US7753798B2 (en) 2003-09-05 2010-07-13 Bally Gaming International, Inc. Systems, methods, and devices for monitoring card games, such as baccarat
US7140614B2 (en) 2003-09-09 2006-11-28 Shuffle Master, Inc. Poker game with required dealer discard
US20070006708A1 (en) 2003-09-09 2007-01-11 Igt Gaming device which dynamically modifies background music based on play session events
US7334794B2 (en) 2003-09-09 2008-02-26 Shuffle Master, Inc. Poker game with required dealer discard
US7510478B2 (en) 2003-09-11 2009-03-31 Igt Gaming apparatus software employing a script file
US20050113171A1 (en) 2003-09-11 2005-05-26 Hodgson Lawrence J. Games with wireless communications capabilities
US20070197294A1 (en) 2003-09-12 2007-08-23 Gong Xiaoqiang D Communications interface for a gaming machine
US20120034977A1 (en) 2003-09-12 2012-02-09 Keith Donald Kammler Adaptive display system and method for a gaming machine
US7277570B2 (en) 2003-09-15 2007-10-02 Itt Manufacturing Enterprises, Inc. Method and apparatus for witness card statistical analysis using image processing techniques
US7316609B2 (en) 2003-09-15 2008-01-08 Shuffle Master, Inc. Reveal-hide-pick-reveal video wagering game feature
US20050110210A1 (en) 2003-10-08 2005-05-26 Arl, Inc. Method, apparatus and article for computational sequence generation and playing card distribution
US7537216B2 (en) 2003-10-08 2009-05-26 Arl, Inc. Method, apparatus and article for computational sequence generation and playing card distribution
EP1575261B1 (en) 2003-10-15 2012-08-22 Ricoh Company, Ltd. Document collection manipulation
US20050148391A1 (en) 2004-01-02 2005-07-07 Tain Liu G. Poker dealing device incorporated with digital recorder system
US7513437B2 (en) 2004-01-15 2009-04-07 Douglas Joel S Security marking and security mark
US20090194988A1 (en) 2004-01-27 2009-08-06 Wright Robert J Method and apparatus for providing a scratch-off lottery game
US20090197662A1 (en) 2004-01-27 2009-08-06 Wright Robert J Method and apparatus for providing an instant lottery game and a supplemental game
US20090227318A1 (en) 2004-01-27 2009-09-10 Wright Robert J Method and apparatus for providing an instant lottery game with an ordered assortment
US20090026700A2 (en) 2004-03-19 2009-01-29 Angel Co., Ltd. Card Shooter Apparatus
US20080143048A1 (en) 2004-03-19 2008-06-19 Yasushi Shigeta Card shooter apparatus
US7046458B2 (en) 2004-03-31 2006-05-16 Fujinon Corporation Fisheye lens and imaging device using it
US7901285B2 (en) 2004-05-07 2011-03-08 Image Fidelity, LLC Automated game monitoring
US20050272501A1 (en) 2004-05-07 2005-12-08 Louis Tran Automated game monitoring
US20050288086A1 (en) 2004-06-28 2005-12-29 Shuffle Master, Inc. Hand count methods and systems for casino table games
US20050288083A1 (en) 2004-06-28 2005-12-29 Shuffle Master, Inc. Distributed intelligent data collection system for casino table games
US7510194B2 (en) 2004-06-30 2009-03-31 Bally Gaming, Inc. Playing cards with separable components
US7525510B2 (en) 2004-08-20 2009-04-28 Wynn Resorts Holdings, Llc Display and method of operation
US20060046853A1 (en) 2004-09-01 2006-03-02 Black Gerald R Off-site casino play
US20120161393A1 (en) 2004-09-14 2012-06-28 Shuffle Master, Inc. Jam detection in a card shuffler
US8628086B2 (en) 2004-09-14 2014-01-14 Shfl Entertainment, Inc. Shuffling devices including one or more sensors for detecting operational parameters and related methods
WO2006031472A2 (en) 2004-09-14 2006-03-23 Shuffle Master, Inc. Magnetic jam detection in a card shuffler
US20060066048A1 (en) 2004-09-14 2006-03-30 Shuffle Master, Inc. Magnetic jam detection in a card shuffler
US7222855B2 (en) 2004-09-24 2007-05-29 Nicholas Sorge Poker blackjack game
WO2006039308A2 (en) 2004-09-29 2006-04-13 Shuffle Master, Inc. Multiple mode card shuffler and card reading device
US20090224476A1 (en) 2004-10-04 2009-09-10 Attila Grauzer Card reading shoe with inventory correction feature and methods of correcting inventory
US20140103606A1 (en) 2004-10-04 2014-04-17 SHFL enterainment, Inc. Card-Reading Shoe with Inventory Correction Feature and Methods of Correcting Inventory
US8490973B2 (en) 2004-10-04 2013-07-23 Shfl Entertainment, Inc. Card reading shoe with card stop feature and systems utilizing the same
US20090140492A1 (en) 2004-10-04 2009-06-04 Yoseloff Mark L Card reading shoe with card stop feature and systems utilizing the same
US7046764B1 (en) 2004-10-04 2006-05-16 General Electric Company X-ray detector having an accelerometer
US8511684B2 (en) 2004-10-04 2013-08-20 Shfl Entertainment, Inc. Card-reading shoe with inventory correction feature and methods of correcting inventory
US7243698B2 (en) 2005-01-10 2007-07-17 Ita, Inc. Pleated shade with sewn in pleats
US7472906B2 (en) 2005-01-18 2009-01-06 Moti Shai Automatic card shuffler and dealer
US7890365B2 (en) 2005-01-25 2011-02-15 Igt Method of leasing a gaming machine for a flat fee amount
US7908169B2 (en) 2005-01-25 2011-03-15 Igt Method of leasing a gaming machine for a percentage of a total coin-in amount
US7666090B2 (en) 2005-01-25 2010-02-23 Igt Method of leasing a gaming machine for a percentage of a net win amount
US20120021835A1 (en) 2005-02-11 2012-01-26 Iprd Labs Llc Systems and methods for server based video gaming
US7261294B2 (en) 2005-02-14 2007-08-28 Shuffle Master, Inc. Playing card shuffler with differential hand count capability
US20060181022A1 (en) 2005-02-14 2006-08-17 Shuffle Master, Inc. Playing card shuffler with differential hand count capability
US20070290438A1 (en) 2005-02-14 2007-12-20 Attila Grauzer Playing card shuffler with differential hand count capability
US8267404B2 (en) 2005-02-14 2012-09-18 Shuffle Master, Inc. Playing card shuffler with differential hand count capability
US20060183540A1 (en) 2005-02-15 2006-08-17 Shuffle Master, Inc. Casino table gaming system with round counting system
US20060205508A1 (en) 2005-03-14 2006-09-14 Original Deal, Inc. On-line table gaming with physical game objects
EP1713026A1 (en) 2005-03-29 2006-10-18 Aruze Corp. Game card
US20060252521A1 (en) 2005-05-03 2006-11-09 Tangam Technologies Inc. Table game tracking
US20060252554A1 (en) 2005-05-03 2006-11-09 Tangam Technologies Inc. Gaming object position analysis and tracking
US20070015583A1 (en) 2005-05-19 2007-01-18 Louis Tran Remote gaming with live table games
US7933448B2 (en) 2005-06-13 2011-04-26 Shuffle Master, Inc. Card reading system employing CMOS reader
US20070069462A1 (en) 2005-06-13 2007-03-29 Shuffle Master, Inc. Card shuffler with card rank and value reading capability using CMOS sensor
US20060279040A1 (en) 2005-06-13 2006-12-14 Shuffle Master, Inc. Manual dealing shoe with card feed limiter
CA2612138A1 (en) 2005-06-13 2006-12-28 Shuffle Master, Inc. Manual dealing shoe with card feed limiter
US20070018389A1 (en) 2005-06-13 2007-01-25 Shuffle Master, Inc. Card reading system employing CMOS reader
US7764836B2 (en) 2005-06-13 2010-07-27 Shuffle Master, Inc. Card shuffler with card rank and value reading capability using CMOS sensor
US7593544B2 (en) 2005-06-13 2009-09-22 Shuffle Master, Inc. Manual dealing shoe with card feed limiter
US20120187625A1 (en) 2005-06-13 2012-07-26 Shuffle Master, Inc. Card shuffling with card rank and value reading capability using cmos sensor
US7300056B2 (en) 2005-07-01 2007-11-27 Gioia Systems, Llc System and methods for randomizing playing instruments for use in online gaming
US20070001395A1 (en) 2005-07-01 2007-01-04 Gioia Systems, Llc Card scrambling device
US20090227360A1 (en) 2005-07-01 2009-09-10 Gioia Systems, Llc Resequencing and validation of playing instruments
US7591728B2 (en) 2005-07-01 2009-09-22 Gioia Systems, Llc Online gaming system configured for remote user interaction
US20080248875A1 (en) 2005-07-18 2008-10-09 Beatty John A Data Warehouse for Distributed Gaming Systems
US20110183748A1 (en) 2005-07-20 2011-07-28 Wms Gaming Inc. Wagering game with encryption and authentication
US7669853B2 (en) 2005-08-29 2010-03-02 Inag, Inc. Card shuffling machine
US20070045959A1 (en) 2005-08-31 2007-03-01 Bally Gaming, Inc. Gaming table having an inductive interface and/or a point optical encoder
US20070259709A1 (en) 2005-09-07 2007-11-08 Kelly Bryan M System gaming
US20070057469A1 (en) 2005-09-09 2007-03-15 Shuffle Master, Inc. Gaming table activity sensing and communication matrix
US20070066387A1 (en) 2005-09-16 2007-03-22 Aruze Corp. Multi-player gaming machine
US7237969B2 (en) 2005-10-05 2007-07-03 Xerox Corporation Dual output tray
US7231812B1 (en) 2005-10-27 2007-06-19 Lagare Michael E Conduit breach location detector
US7464932B2 (en) 2005-11-02 2008-12-16 Richard Darling Shuffler device for game pieces
US7549643B2 (en) 2005-11-10 2009-06-23 Binh Quach Playing card system
US20070111773A1 (en) 2005-11-15 2007-05-17 Tangam Technologies Inc. Automated tracking of playing cards
US7846020B2 (en) 2005-12-02 2010-12-07 Walker Digital, Llc Problem gambling detection in tabletop games
US7554753B2 (en) 2005-12-02 2009-06-30 Nikon Corporation Fish-eye lens and imaging device
US8021231B2 (en) 2005-12-02 2011-09-20 Walker Digital, Llc Problem gambling detection in tabletop games
US8057302B2 (en) 2006-01-04 2011-11-15 Igt Modular gaming machine and security system
US7389990B2 (en) 2006-01-06 2008-06-24 Raphael Mourad Method of playing a card game involving a dealer
US20090298577A1 (en) 2006-02-07 2009-12-03 Wms Gaming Inc. Wager gaming network with wireless hotspots
US20080284096A1 (en) 2006-02-21 2008-11-20 Hirohide Toyama Apparatus and method for automatically shuffling cards
US7900923B2 (en) 2006-02-21 2011-03-08 Shuffle Tech International Llc Apparatus and method for automatically shuffling cards
US20070202941A1 (en) 2006-02-24 2007-08-30 Igt Internet remote game server
US20070233567A1 (en) 2006-03-03 2007-10-04 Geoff Daly System and Method for Controlled Dispensing and Marketing of Potable Liquids
US20070225055A1 (en) 2006-03-21 2007-09-27 Neal Weisman Playing card identification system & method
US20090267297A1 (en) 2006-03-24 2009-10-29 Ernst Blaha Card shuffler with gravity feed system for playing cards
US8210536B2 (en) 2006-03-24 2012-07-03 Shuffle Master Gmbh & Co Kg. Card snuffler with gravity feed system for playing cards
US7967294B2 (en) 2006-03-24 2011-06-28 Shuffle Master Gmbh & Co Kg Card shuffler with gravity feed system for playing cards
US20070222147A1 (en) 2006-03-24 2007-09-27 Shuffle Master, Inc. Card shuffler with gravity feed system for playing cards
US7556266B2 (en) 2006-03-24 2009-07-07 Shuffle Master Gmbh & Co Kg Card shuffler with gravity feed system for playing cards
US20070238506A1 (en) 2006-04-11 2007-10-11 Ruckle Clyde A Method and apparatus for card printing
US7523937B2 (en) 2006-04-18 2009-04-28 Bally Gaming, Inc. Device for use in playing card handling system
US20100013152A1 (en) 2006-05-03 2010-01-21 Attila Grauzer Ergonomic Card Delivery Shoe
US7578506B2 (en) 2006-05-10 2009-08-25 Larry Lambert Three card blackjack
US8702100B2 (en) 2006-05-17 2014-04-22 Shfl Entertainment, Inc. Playing card delivery systems for games with multiple dealing rounds
US7510186B2 (en) 2006-05-23 2009-03-31 Bally Gaming, Inc. Systems, methods and articles to facilitate delivery of playing cards
US7448626B2 (en) 2006-05-23 2008-11-11 Bally Gaming, Inc. Systems, methods and articles to facilitate playing card games
US8579289B2 (en) 2006-05-31 2013-11-12 Shfl Entertainment, Inc. Automatic system and methods for accurate card handling
US20140138907A1 (en) 2006-05-31 2014-05-22 Shfl Entertainment, Inc. Automatic System and Methods for Accurate Card Handling
US8662500B2 (en) 2006-05-31 2014-03-04 Shfl Entertainment, Inc. Card weight for gravity feed input for playing card shuffler
US8353513B2 (en) 2006-05-31 2013-01-15 Shfl Entertainment, Inc. Card weight for gravity feed input for playing card shuffler
US20110109042A1 (en) 2006-05-31 2011-05-12 Rynda Robert J Automatic system and methods for accurate card handling
US20070278739A1 (en) 2006-05-31 2007-12-06 Shuffle Master, Inc. Card weight for gravity feed input for playing card shuffler
US20080022415A1 (en) 2006-06-20 2008-01-24 Yu-Chiun Kuo Authority limit management method
US8342525B2 (en) 2006-07-05 2013-01-01 Shfl Entertainment, Inc. Card shuffler with adjacent card infeed and card output compartments
US8141875B2 (en) 2006-07-05 2012-03-27 Shuffle Master, Inc. Card handling devices and networks including such devices
US20130099448A1 (en) 2006-07-05 2013-04-25 Shfl Entertainment, Inc. Automatic card shuffler with pivotal card weight and divider gate
US8702101B2 (en) 2006-07-05 2014-04-22 Shfl Entertainment, Inc. Automatic card shuffler with pivotal card weight and divider gate
WO2008005286A2 (en) 2006-07-05 2008-01-10 Shuffle Master, Inc. Card shuffler with adjacent card infeed and card output compartments
US20080006998A1 (en) 2006-07-05 2008-01-10 Attila Grauzer Card handling devices and methods of using the same
US20120175841A1 (en) 2006-07-05 2012-07-12 Shuffle Master, Inc. Methods of handling cards and of selectively delivering bonus cards
US20120181747A1 (en) 2006-07-05 2012-07-19 Shuffle Master, Inc. Card handling devices and related methods
US7766332B2 (en) 2006-07-05 2010-08-03 Shuffle Master, Inc. Card handling devices and methods of using the same
US20080006997A1 (en) 2006-07-05 2008-01-10 Shuffle Master, Inc. Card shuffler with adjacent card infeed and card output compartments
US20100314830A1 (en) 2006-07-05 2010-12-16 Attila Grauzer Card handling devices and methods of using the same
WO2008006023A2 (en) 2006-07-07 2008-01-10 Elixir Gaming Technologies, Inc. Device for sorting playing cards and method of use
US7506874B2 (en) 2006-07-17 2009-03-24 Shuffle Master, Inc Blackjack game with press wager
US20080039192A1 (en) 2006-07-26 2008-02-14 Steven Laut System and method for personal wagering
US20080039208A1 (en) 2006-07-31 2008-02-14 Ulf Abrink Information updating management in a gaming system
CN101127131A (en) 2006-08-16 2008-02-20 盛年 Mobile type card-scanning device and ground type card-scanning device
US20080136108A1 (en) 2006-08-21 2008-06-12 Andrew Polay Modular gaming table
US8919775B2 (en) 2006-11-10 2014-12-30 Bally Gaming, Inc. System for billing usage of an automatic card handling device
US20080111300A1 (en) 2006-11-10 2008-05-15 Zbigniew Czyzewski Casino card shoes, systems, and methods for a no peek feature
US20080113783A1 (en) 2006-11-10 2008-05-15 Zbigniew Czyzewski Casino table game monitoring system
US20110172008A1 (en) 2006-11-15 2011-07-14 Alderucci Dean P Verifying a gaming device is in communications with a gaming server by passing an indicator between the gaming device and a verification device
US7766333B1 (en) 2007-01-22 2010-08-03 Bob Stardust Method and apparatus for shuffling and ordering playing cards
WO2008091809A2 (en) 2007-01-23 2008-07-31 Jeffrey Alan Miller Method and system for tracking card play
US8251293B2 (en) 2007-01-26 2012-08-28 Nidec Sankyo Corporation Card processing apparatus with liquid drain
US7500672B2 (en) 2007-02-15 2009-03-10 Taiwan Fulgent Enterprise Co., Ltd. Automatic shuffling and dealing machine
US20080234046A1 (en) 2007-03-19 2008-09-25 Igt Centralized licensing services
US20080234047A1 (en) 2007-03-21 2008-09-25 Igt Wager game license management in a game table
JP2008246061A (en) 2007-03-30 2008-10-16 Samii Kk System for processing fraudulent putout of token, method for processing fraudulent putout of token and game machine
US20080315517A1 (en) 2007-05-24 2008-12-25 Hirohide Toyama Card shuffling device and method
US20080303210A1 (en) 2007-06-06 2008-12-11 Attila Grauzer Apparatus, system, method, and computer-readable medium for casino card handling with multiple hand recall feature
US20120074646A1 (en) 2007-06-06 2012-03-29 Attila Grauzer Apparatus, system, method, and computer-readable medium for casino card handling with multiple hand recall feature
US8777710B2 (en) 2007-06-06 2014-07-15 Shfl Entertainment, Inc. Apparatus, system, method, and computer-readable medium for casino card handling with multiple hand recall feature
US20140094239A1 (en) 2007-06-06 2014-04-03 Shfl Entertainment, Inc. Casino Card Handling with Game Play Feed
US8070574B2 (en) 2007-06-06 2011-12-06 Shuffle Master, Inc. Apparatus, system, method, and computer-readable medium for casino card handling with multiple hand recall feature
US7769853B2 (en) 2007-06-12 2010-08-03 International Business Machines Corporation Method for automatic discovery of a transaction gateway daemon of specified type
US20100178987A1 (en) 2007-06-29 2010-07-15 Wms Gaming Inc. Sourcing of electronic wagering games accessed through unaffiliated hosts
US20090176547A1 (en) 2007-07-03 2009-07-09 Katz Marcus A Card Game Interface
US8221244B2 (en) 2007-08-14 2012-07-17 John B. French Table with sensors and smart card holder for automated gaming system and gaming cards
US20090048026A1 (en) 2007-08-14 2009-02-19 French John B Smart card holder for automated gaming system and gaming cards
US20090191933A1 (en) 2007-08-14 2009-07-30 French John B Table with sensors and smart card holder for automated gaming system and gaming cards
US7540497B2 (en) 2007-09-13 2009-06-02 Kuo-Lung Tseng Automatic card shuffler
US20090072477A1 (en) 2007-09-13 2009-03-19 Kuo-Lung Tseng Automatic card shuffler
US20090100409A1 (en) 2007-10-12 2009-04-16 E-Synergies.Com Pty Ltd Game Design Tool
US20090104963A1 (en) 2007-10-22 2009-04-23 Kevin Burman Laser lot generator
US20090121429A1 (en) 2007-11-09 2009-05-14 Shuffle Master, Inc. Card delivery shoe and methods of fabricating the card delivery shoe
CN201139926Y (en) 2007-12-01 2008-10-29 谭钜坤 Full-automatic shuffling and dealing apparatus
US20090166970A1 (en) 2007-12-28 2009-07-02 Rosh Melvin S Card Shuffler and dealer
US20090179378A1 (en) 2008-01-10 2009-07-16 Lee Amaitis Card game with counting
US20090186676A1 (en) 2008-01-17 2009-07-23 Lee Amaitis Game with interim betting
US20090250873A1 (en) 2008-04-02 2009-10-08 Inag, Inc. Method for playing a game similar to craps
US20090253478A1 (en) 2008-04-04 2009-10-08 Walker Jay S Group session play
US20110130185A1 (en) 2008-04-09 2011-06-02 Igt System and method for card shoe security at a table game
US7995196B1 (en) 2008-04-23 2011-08-09 Tracer Detection Technology Corp. Authentication method and system
US7753374B2 (en) 2008-04-23 2010-07-13 Taiwan Fulgent Enterprise Co., Ltd. Automatic shuffling machine
US20090267296A1 (en) 2008-04-23 2009-10-29 Cai-Shiang Ho Automatic Shuffling Machine
WO2009137541A2 (en) 2008-05-06 2009-11-12 Shuffle Tech International Llc Apparatus and method for automatically shuffling cards
US20090283969A1 (en) 2008-05-15 2009-11-19 Tzu-Hsiang Tseng Automatic poker shuffling machine
US7740244B2 (en) 2008-06-05 2010-06-22 Taiwan Fulgent Enterprise Co., Ltd. Card cartridge for a shuffling machine
US20090302537A1 (en) 2008-06-05 2009-12-10 Taiwan Fulgent Enterprise Co., Ltd. Shuffling machine with a detaching assembly for card input and output
US20090302535A1 (en) 2008-06-05 2009-12-10 Taiwan Fulgent Enterprise Co., Ltd. Multiple-inlet shuffling machine
WO2010001032A1 (en) 2008-06-11 2010-01-07 Prismaflex International Textile complex, communicating panel and method of displaying the textile complex
US8480088B2 (en) 2008-06-23 2013-07-09 Shuffle Tech International Llc Flush mounting for card shuffler
US20090314188A1 (en) 2008-06-23 2009-12-24 Hirohide Toyama Flush mounting for card shuffler
US20100244382A1 (en) 2008-07-15 2010-09-30 Snow Roger M Automated house way indicator and commission indicator
US8342529B2 (en) 2008-07-15 2013-01-01 Shuffle Master, Inc. Automated house way indicator and activator
US20100038849A1 (en) 2008-08-15 2010-02-18 Scheper Paul K Intelligent automatic shoe and cartridge
US8758111B2 (en) 2008-08-20 2014-06-24 Cfph, Llc Game of chance systems and methods
US20100048304A1 (en) 2008-08-22 2010-02-25 Aristocrat Technologies Australia Pty Limited Network interface, gaming system and gaming device
US20100069155A1 (en) 2008-09-17 2010-03-18 LPP Enterprises, LLC Interactive gaming system via a global network and methods thereof
US7762554B2 (en) 2008-10-03 2010-07-27 Taiwan Fulgent Enterprise Co., Ltd. Card output device for shuffling machine
US8287347B2 (en) 2008-11-06 2012-10-16 Shuffle Master, Inc. Method, apparatus and system for egregious error mitigation
WO2010055328A1 (en) 2008-11-12 2010-05-20 Xtale Limited Dealing apparatus and gaming system
US20110062662A1 (en) 2008-11-27 2011-03-17 Nidec Sankyo Corporation Card issuing device
US20130085638A1 (en) 2009-02-20 2013-04-04 Robert V. Weinmann Optical image monitoring system and method for vehicles
US8319666B2 (en) 2009-02-20 2012-11-27 Appareo Systems, Llc Optical image monitoring system and method for vehicles
US20100234110A1 (en) 2009-03-10 2010-09-16 Gavin Clarkson Remote Internet Access to Certain Gaming Operations
US20100240440A1 (en) 2009-03-18 2010-09-23 Walter Szrek Secure Provisioning of Random Numbers to Remote Clients
US20100255899A1 (en) 2009-04-03 2010-10-07 Igt Methods and apparatus for providing for disposition of promotional offers in a wagering environment
US20110272881A1 (en) 2009-04-07 2011-11-10 Shuffle Master, Inc. Playing card shuffler
US20100252992A1 (en) 2009-04-07 2010-10-07 Sines Randy D Playing card shuffler
US20130020761A1 (en) 2009-04-07 2013-01-24 Shuffle Master, Inc. Card shuffling apparatuses and related methods
US8469360B2 (en) 2009-04-07 2013-06-25 Shfl Entertainment, Inc. Playing card shuffler
US7988152B2 (en) 2009-04-07 2011-08-02 Shuffle Master, Inc. Playing card shuffler
WO2010117446A1 (en) 2009-04-07 2010-10-14 Newton Shuffler Llc Playing card shuffler
US20120015724A1 (en) 2009-05-18 2012-01-19 Matthew Adam Ocko Embedding of games into third party websites
US20120015725A1 (en) 2009-05-18 2012-01-19 Matthew Adam Ocko Embedding of games into third party websites
US20120015747A1 (en) 2009-05-18 2012-01-19 Matthew Adam Ocko Embedding of games into third party websites
US20120062745A1 (en) 2009-05-19 2012-03-15 Imagenext Co., Ltd. Lane departure sensing method and apparatus using images that surround a vehicle
US8287386B2 (en) 2009-06-08 2012-10-16 Cfph, Llc Electrical transmission among interconnected gaming systems
US20100311494A1 (en) 2009-06-08 2010-12-09 Miller Mark A Amusement device including means for processing electronic data in play of a game of chance
US20100311493A1 (en) 2009-06-08 2010-12-09 Miller Mark A Interprocess communication regarding movement of game devices
US20110012303A1 (en) 2009-07-14 2011-01-20 Fairplay, Inc. Shuffler for playing cards
US20110024981A1 (en) 2009-07-28 2011-02-03 Tzu-Hsiang Tseng Automatic playing card dispensing system
US20110052049A1 (en) 2009-08-26 2011-03-03 Bally Gaming, Inc. Apparatus, method and article for evaluating a stack of objects in an image
US20110078096A1 (en) 2009-09-25 2011-03-31 Bounds Barry B Cut card advertising
US8092309B2 (en) 2009-10-30 2012-01-10 Igt Managed on-line poker tournaments
US20110105208A1 (en) 2009-10-30 2011-05-05 Igt Managed On-Line Poker Tournaments
US20110230268A1 (en) 2010-03-22 2011-09-22 Igt Communication methods for networked gaming systems
US20110269529A1 (en) 2010-04-28 2011-11-03 Igt Systems, Apparatus and Methods for Providing Gaming Applications
US20110287829A1 (en) 2010-05-21 2011-11-24 Martha Atelia Clarkson System and method for providing off-site online based gaming
US20120015743A1 (en) 2010-06-24 2012-01-19 Serena Lam Mobile device interface for online games
US20130132306A1 (en) 2010-07-30 2013-05-23 Masahiko Kami Game system, and a storage medium storing a computer program and server apparatus therefor
US20120091656A1 (en) 2010-10-14 2012-04-19 Shuffle Master Gmbh & Co Kg. Card handling systems, devices for use in card handling systems and related methods
US8498444B2 (en) 2010-12-13 2013-07-30 Texas Instruments Incorporated Blob representation in video processing
US20120242782A1 (en) 2011-03-24 2012-09-27 Hon Hai Precision Industry Co., Ltd. Image capture device and image processing method
US20120306152A1 (en) 2011-06-03 2012-12-06 The United States Playing Card Company Intelligent table game system
US20140171170A1 (en) 2011-06-03 2014-06-19 Venkata Krishnamurty Intelligent Table Game System
US8485527B2 (en) 2011-07-29 2013-07-16 Savant Shuffler LLC Card shuffler
US20130300059A1 (en) 2011-07-29 2013-11-14 Savant Shuffler LLC Method for Shuffling and Dealing Cards
WO2013019677A1 (en) 2011-07-29 2013-02-07 Savant Shuffler LLC Card shuffler
US8342526B1 (en) 2011-07-29 2013-01-01 Savant Shuffler LLC Card shuffler
US20130337922A1 (en) 2012-06-15 2013-12-19 Digideal Corporation Playing card creation for wagering devices
US20140027979A1 (en) 2012-07-27 2014-01-30 Shuffle Master, Inc. Batch card shuffling apparatuses including multi card storage compartments, and related methods
US8695978B1 (en) 2012-11-09 2014-04-15 Taiwan Fulgent Enterprise Co., Ltd. Shuffling machine
CZ24952U1 (en) 2012-11-19 2013-02-18 Skopalík@Robert Device for mixing playing cards
US20140175724A1 (en) 2012-12-20 2014-06-26 Fiskars Brands Finland Oy Ab Chopping aid device
US20150069699A1 (en) 2013-09-06 2015-03-12 Mladen Blazevic Playing card imaging technology with through-the-card viewing technology

Non-Patent Citations (84)

* Cited by examiner, † Cited by third party
Title
"ACE, Single Deck Shuffler," Shuffle Master, Inc., (2005), 2 pages.
"Automatic casino card shuffle," Alibaba.com, (last visited Jul. 22, 2014), 2 pages.
"Error Back propagation," http://willamette.edu~gorr/classes/cs449/backprop.html (4 pages), Nov. 13, 2008.
"Error Back propagation," http://willamette.edu˜gorr/classes/cs449/backprop.html (4 pages), Nov. 13, 2008.
"i-Deal," Bally Technologies, Inc., (2014), 2 pages.
"shufflers-SHFL entertainment," Gaming Concepts Group, (2012), 6 pages.
"TAG Archives: Shuffle Machine," Gee Wiz Online, (Mar. 25, 2013), 4 pages.
1/3'' B/W CCD Camera Module EB100 by EverFocus Electronics Corp., Jul. 31, 2001, 3 pgs.
1/3″ B/W CCD Camera Module EB100 by EverFocus Electronics Corp., Jul. 31, 2001, 3 pgs.
Canadian Office Action for CA 2,580,309 dated Mar. 20, 2012 (6 pages).
Christos Stergiou and Dimitrios Siganos, "Neural Networks," http://www.doc.ic.ac.uk/~nd/surprise-96/journl/vol4/cs11/report.html (13 pages), Dec. 15, 2011.
Christos Stergiou and Dimitrios Siganos, "Neural Networks," http://www.doc.ic.ac.uk/˜nd/surprise-96/journl/vol4/cs11/report.html (13 pages), Dec. 15, 2011.
Documents submitted in case of Shuffle Master, Inc. v. Card Austria, et al., Case No. CV-N-0508-HDM-(VPC) Consolidated with Case No. CV-N-02-0244-ERC-(RAM)), May 6, 2003, scan of color pages, for clarity, Part 18 of 23.
Documents submitted in case of Shuffle Master, Inc. v. Card Austria, et al., Case No. CV-N-0508-HDM-(VPC) Consolidated with Case No. CV-N-02-0244-ERC-(RAM)), May 6, 2003, scan of color pages, for clarity, Part 19 of 23.
Documents submitted in case of Shuffle Master, Inc. v. Card Austria, et al., Case No. CV-N-0508-HDM-(VPC) Consolidated with Case No. CV-N-02-0244-ERC-(RAM)), May 6, 2003, scan of color pages, for clarity, Part 20 of 23.
Documents submitted in case of Shuffle Master, Inc. v. Card Austria, et al., Case No. CV-N-0508-HDM-(VPC) Consolidated with Case No. CV-N-02-0244-ERC-(RAM)), May 6, 2003, scan of color pages, for clarity, Part 21 of 23.
Documents submitted in case of Shuffle Master, Inc. v. Card Austria, et al., Case No. CV-N-0508-HDM-(VPC) Consolidated with Case No. CV-N-02-0244-ERC-(RAM)), May 6, 2003, scan of color pages, for clarity, Part 22 of 23.
Documents submitted in case of Shuffle Master, Inc. v. Card Austria, et al., Case No. CV-N-0508-HDM-(VPC) Consolidated with Case No. CV-N-02-0244-ERC-(RAM)), May 6, 2003, scan of color pages, for clarity, Part 23 of 23.
Documents submitted in the case of Shuffle Master, Inc. v. Card Austria, et al., Case No. CV-N-0508-HDM-(VPC) (Consolidated with Case No. CV-N-02-0244-ERC-(RAM)), May 6, 2003, Part 1 of 23 (Master Index and Binder 1, 1 of 2).
Documents submitted in the case of Shuffle Master, Inc. v. Card Austria, et al., Case No. CV-N-0508-HDM-(VPC) (Consolidated with Case No. CV-N-02-0244-ERC-(RAM)), May 6, 2003, Part 10 of 23 (Binder 6, 2 of 2).
Documents submitted in the case of Shuffle Master, Inc. v. Card Austria, et al., Case No. CV-N-0508-HDM-(VPC) (Consolidated with Case No. CV-N-02-0244-ERC-(RAM)), May 6, 2003, Part 11 of 23 (Binder 7, 1 of 2).
Documents submitted in the case of Shuffle Master, Inc. v. Card Austria, et al., Case No. CV-N-0508-HDM-(VPC) (Consolidated with Case No. CV-N-02-0244-ERC-(RAM)), May 6, 2003, Part 12 of 23 (Binder 7, 2 of 2).
Documents submitted in the case of Shuffle Master, Inc. v. Card Austria, et al., Case No. CV-N-0508-HDM-(VPC) (Consolidated with Case No. CV-N-02-0244-ERC-(RAM)), May 6, 2003, Part 13 of 23 (Binder 8, 1 of 5).
Documents submitted in the case of Shuffle Master, Inc. v. Card Austria, et al., Case No. CV-N-0508-HDM-(VPC) (Consolidated with Case No. CV-N-02-0244-ERC-(RAM)), May 6, 2003, Part 14 of 23 (Binder 8, 2 of 5).
Documents submitted in the case of Shuffle Master, Inc. v. Card Austria, et al., Case No. CV-N-0508-HDM-(VPC) (Consolidated with Case No. CV-N-02-0244-ERC-(RAM)), May 6, 2003, Part 15 of 23 (Binder 8, 3 of 5).
Documents submitted in the case of Shuffle Master, Inc. v. Card Austria, et al., Case No. CV-N-0508-HDM-(VPC) (Consolidated with Case No. CV-N-02-0244-ERC-(RAM)), May 6, 2003, Part 16 of 23 (Binder 8, 4 of 5).
Documents submitted in the case of Shuffle Master, Inc. v. Card Austria, et al., Case No. CV-N-0508-HDM-(VPC) (Consolidated with Case No. CV-N-02-0244-ERC-(RAM)), May 6, 2003, Part 17 of 23 (Binder 8, 5 of 5).
Documents submitted in the case of Shuffle Master, Inc. v. Card Austria, et al., Case No. CV-N-0508-HDM-(VPC) (Consolidated with Case No. CV-N-02-0244-ERC-(RAM)), May 6, 2003, Part 2 of 23 (Master Index and Binder 1, 2 of 2).
Documents submitted in the case of Shuffle Master, Inc. v. Card Austria, et al., Case No. CV-N-0508-HDM-(VPC) (Consolidated with Case No. CV-N-02-0244-ERC-(RAM)), May 6, 2003, Part 3 of 23 (Binder 2, 1 of 2).
Documents submitted in the case of Shuffle Master, Inc. v. Card Austria, et al., Case No. CV-N-0508-HDM-(VPC) (Consolidated with Case No. CV-N-02-0244-ERC-(RAM)), May 6, 2003, Part 4 of 23 (Binder 2, 2 of 2).
Documents submitted in the case of Shuffle Master, Inc. v. Card Austria, et al., Case No. CV-N-0508-HDM-(VPC) (Consolidated with Case No. CV-N-02-0244-ERC-(RAM)), May 6, 2003, Part 5 of 23 (Binder 3, 1 of 2).
Documents submitted in the case of Shuffle Master, Inc. v. Card Austria, et al., Case No. CV-N-0508-HDM-(VPC) (Consolidated with Case No. CV-N-02-0244-ERC-(RAM)), May 6, 2003, Part 6 of 23 (Binder 3, 2 of 2).
Documents submitted in the case of Shuffle Master, Inc. v. Card Austria, et al., Case No. CV-N-0508-HDM-(VPC) (Consolidated with Case No. CV-N-02-0244-ERC-(RAM)), May 6, 2003, Part 7 of 23 (Binder 4, 1 of 2).
Documents submitted in the case of Shuffle Master, Inc. v. Card Austria, et al., Case No. CV-N-0508-HDM-(VPC) (Consolidated with Case No. CV-N-02-0244-ERC-(RAM)), May 6, 2003, Part 8 of 23 (Binder 4, 2 of 2).
Documents submitted in the case of Shuffle Master, Inc. v. Card Austria, et al., Case No. CV-N-0508-HDM-(VPC) (Consolidated with Case No. CV-N-02-0244-ERC-(RAM)), May 6, 2003, Part 9 of 23 (Binder 5 having no contents; Binder 6, 1 of 2).
DVD labeled "Exhibit 1". This is a video taken by Shuffle Master personnel of the live operation of a Card One2Six(TM) Shuffler (Oct. 7, 2003).
DVD labeled "Exhibit 1". This is a video taken by Shuffle Master personnel of the live operation of a Card One2Six™ Shuffler (Oct. 7, 2003).
DVD Labeled "Luciano Decl. Ex. K". This is the video taped live Declaration of Mr. Luciano taken during preparation of litigation (Oct. 23, 2003).
DVD Labeled "Solberg Decl. Ex. C". Exhibit C to Declaration of Hal Solberg, a witness in litigation, signed Dec. 1, 2003.
DVD labeled Morrill Decl. Ex. A:. This is the video taped live Declaration of Mr. Robert Morrill, a lead trial counsel for the defense, taken during preparation for litigation. He is describing the operation of the Roblejo Prototype device. See Roblejo patent in 1449 or of record (Jan. 15, 2004).
European Patent Application Search Report-European Patent Application No. 06772987.1, Dec. 21, 2009.
Genevieve Orr, CS-449: Neural Networks Willamette University, http://www.willamette.edu/~gorr/classes/cs449/intro.html (4 pages), Fall 1999.
Genevieve Orr, CS-449: Neural Networks Willamette University, http://www.willamette.edu/˜gorr/classes/cs449/intro.html (4 pages), Fall 1999.
http://www.google.com/search?tbm=pts&q=Card+handling+devicve+with+input+and+outpu . . . Jun. 8, 2012.
http://www.google.com/search?tbm=pts&q=shuffling+zone+onOopposite+site+of+input+. . . Jul. 18, 2012.
Litwiller, Dave, CCD vs. CMOS: Facts and Fiction reprinted from Jan. 2001 Issue of Photonics Spectra, Laurin Publishing Co. Inc. (4 pages).
Malaysian Patent Application Substantive Examination Adverse Report-Malaysian Patent Application Serial No. PI 20062710, Sep. 6, 2006.
PCT International Preliminary Examination Report for corresponding International Application No. PCT/US02/31105 filed Sep. 27, 2002.
PCT International Preliminary Report on Patentability of the International Searching Authority for PCT/US05/31400, dated Oct. 16, 2007, 7 pages.
PCT International Search Report and Written Opinion for International Application No. PCT/US2007/022858, mailed Apr. 18, 2008, 7 pages.
PCT International Search Report and Written Opinion for International Application No. PCT/US2007/023168, dated Sep. 12, 2008, 8 pages.
PCT International Search Report and Written Opinion for PCT/US07/15035, dated Sep. 29, 2008, 3 pages.
PCT International Search Report and Written Opinion for PCT/US07/15036, dated Sep. 23, 2008, 3 pages.
PCT International Search Report and Written Opinion of the International Searching Authority for PCT/GB2011/051978, dated Jan. 17, 2012, 11 pages.
PCT International Search Report and Written Opinion of the International Searching Authority for PCT/IB2013/001756, dated Jan. 10, 2014, 7 pages.
PCT International Search Report and Written Opinion of the International Searching Authority for PCT/US05/31400, dated Sep. 25, 2007, 8 pages.
PCT International Search Report and Written Opinion of the International Searching Authority for PCT/US11/59797, dated Mar. 27, 2012, 14 pages.
PCT International Search Report and Written Opinion of the International Searching Authority for PCT/US13/59665, dated Apr. 25, 2014, 21 pages.
PCT International Search Report and Written Opinion of the International Searching Authority for PCT/US2008/007069, dated Sep. 8, 2008, 10 pages.
PCT International Search Report and Written Opinion of the International Searching Authority for PCT/US2010/001032, dated Jun. 16, 2010, 11 pages.
PCT International Search Report and Written Opinion, PCT Application No. PCT/US2013/062391, Dec. 17, 2013, 13 pages.
PCT International Search Report and Written Opinion, PCT Application No. PCT/US2015/022158, Jun. 17, 2015, 13 pages.
PCT International Search Report and Written Opinion, PCT/US12/48706, Oct. 16, 2012, 12 pages.
PCT International Search Report and Written Opinion-International Patent Application No. PCT/US2006/22911, Dec. 28, 2006.
PCT International Search Report for International Application No. PCT/US2003/015393, mailed Oct. 6, 2003.
PCT International Search Report for PCT/US2005/034737 dated Apr. 7, 2006 (WO06/039308).
PCT International Search Report for PCT/US2007/022894, dated Jun. 11, 2008, 2 pages.
Philippines Patent Application Formality Examination Report-Philippines Patent Application No. 1-2006-000302, Jun. 13, 2006.
Press Release for Alliance Gaming Corp., Jul 26, 2004-Alliance Gaming Announces Control with Galaxy Macau for New MindPlay Baccarat Table Technology, http://biz.yahoo.com/prnews.
Scarne's Encyclopedia of Games by John Scarne, 1973, "Super Contract Brdige", p. 153.
Service Manual/User Manual for Single Deck Shufflers: BG1, BG2 and BG3 by Shuffle Master ©1996.
Shuffle Master Gaming, Service Manual, ACETM Single Deck Card Shuffler, (1998), 63 pages.
Shuffle Master Gaming, Service Manual, Let It Ride Bonus® With Universal Keypad, 112 pages, © 2000 Shuffle Master, Inc.
Shuffle Master's Reply Memorandum in Support of Shuffle Master's Motion for Preliminary Injunction for Shuffle Master, Inc. vs. VendingData Corporation, in the U.S. District Court, District of Nevada, No. CV-S-04-1373-JCM-LRL, Nov. 29, 2004.
Singapore Patent Application Examination Report-Singapore Patent Application No. SE 2008 01914 A, Aug. 6, 2006.
Specification of Australian Patent Application No. 31577/95, filed Jan. 17, 1995, Applicants: Rodney G. Johnson et al., Title: Card Handling Apparatus.
Specification of Australian Patent Application No. Not Listed, filed Aug. 15, 1994, Applicants: Rodney G. Johnson et al., Title: Card Handling Apparatus.
Statement of Relevance of Cited References, Submitted as Part of a Third-Party Submission Under 37 CFR 1.290 on Dec. 7, 2012 (12 pages).
tbm=pts&hl=en Google Search for card handling device with storage area, card removing system pivoting arm and processor . . . ; http://www.google.com/?tbm=pts&hl=en; Jul. 28, 2012.
Tracking the Tables, by Jack Bularsky, Casino Journal, May 2004, vol. 17, No. 5, pp. 44-47.
United States Court of Appeals for the Federal Circuit Decision Decided Dec. 27, 2005 for Preliminary Injuction for Shuffle Master, Inc. vs. VendingData Corporation, In the U.S. District Court, District of Nevada, No. CV-S-04-1373-JCM-LRL.
VendingData Corporation's Answer and Counterclaim Jury Trial Demanded for Shuffle Master, Inc. vs. VendingData Corporation, In the U.S. District Court, District of Nevada, No. CV-S-04-1373-JCM-LRL, Oct. 25, 2004.
VendingData Corporation's Opposition to Shuffle Master Inc.'s Motion for Preliminary Injection for Shuffle Master, Inc. vs. VendingData Corporation, In the U.S. District Court, District of Nevada, No. CV-S-04-1373-JCM-LRL, Nov. 12, 2004.
VendingData Corporation's Responses to Shuffle Master, Inc.'s First set of interrogatories for Shuffler Master, Inc. vs. VendingData Corporation, in the U.S. District Court, District of Nevada, No. CV-S-04-1373-JCM-LRL, Mar. 14, 2005.

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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10456659B2 (en) 2000-04-12 2019-10-29 Shuffle Master Gmbh & Co Kg Card handling devices and systems
US9811671B1 (en) 2000-05-24 2017-11-07 Copilot Ventures Fund Iii Llc Authentication method and system
US10532272B2 (en) 2001-09-28 2020-01-14 Bally Gaming, Inc. Flush mounted card shuffler that elevates cards
US10004976B2 (en) 2001-09-28 2018-06-26 Bally Gaming, Inc. Card handling devices and related methods
US10022617B2 (en) 2001-09-28 2018-07-17 Bally Gaming, Inc. Shuffler and method of shuffling cards
US10569159B2 (en) 2001-09-28 2020-02-25 Bally Gaming, Inc. Card shufflers and gaming tables having shufflers
US10549177B2 (en) 2001-09-28 2020-02-04 Bally Gaming, Inc. Card handling devices comprising angled support surfaces
US10343054B2 (en) 2001-09-28 2019-07-09 Bally Gaming, Inc. Systems including automatic card handling apparatuses and related methods
US10226687B2 (en) 2001-09-28 2019-03-12 Bally Gaming, Inc. Method and apparatus for using upstream communication in a card shuffler
US10576363B2 (en) 2005-06-13 2020-03-03 Bally Gaming, Inc. Card shuffling apparatus and card handling device
US10220297B2 (en) 2006-03-24 2019-03-05 Shuffle Master Gmbh & Co Kg Card handling apparatus and associated methods
US10926164B2 (en) 2006-05-31 2021-02-23 Sg Gaming, Inc. Playing card handling devices and related methods
US10525329B2 (en) 2006-05-31 2020-01-07 Bally Gaming, Inc. Methods of feeding cards
US10226686B2 (en) 2006-07-05 2019-03-12 Bally Gaming, Inc. Automatic card shuffler with pivotal card weight and divider gate
US10639542B2 (en) 2006-07-05 2020-05-05 Sg Gaming, Inc. Ergonomic card-shuffling devices
US10286291B2 (en) 2006-11-10 2019-05-14 Bally Gaming, Inc. Remotely serviceable card-handling devices and related systems and methods
US10410475B2 (en) 2007-06-06 2019-09-10 Bally Gaming, Inc. Apparatus, system, method, and computer-readable medium for casino card handling with multiple hand recall feature
US10504337B2 (en) 2007-06-06 2019-12-10 Bally Gaming, Inc. Casino card handling system with game play feed
US10166461B2 (en) 2009-04-07 2019-01-01 Bally Gaming, Inc. Card shuffling apparatuses and related methods
US10137359B2 (en) 2009-04-07 2018-11-27 Bally Gaming, Inc. Playing card shufflers and related methods
US10722779B2 (en) 2010-10-14 2020-07-28 Shuffle Master Gmbh & Co Kg Methods of operating card handling devices of card handling systems
US10814212B2 (en) 2010-10-14 2020-10-27 Shuffle Master Gmbh & Co Kg Shoe devices and card handling systems
US10583349B2 (en) 2010-10-14 2020-03-10 Shuffle Master Gmbh & Co Kg Card handling systems, devices for use in card handling systems and related methods
US10668362B2 (en) 2011-07-29 2020-06-02 Sg Gaming, Inc. Method for shuffling and dealing cards
US10933301B2 (en) 2011-07-29 2021-03-02 Sg Gaming, Inc. Method for shuffling and dealing cards
US10668361B2 (en) 2012-07-27 2020-06-02 Sg Gaming, Inc. Batch card shuffling apparatuses including multi-card storage compartments, and related methods
US10124241B2 (en) 2012-07-27 2018-11-13 Bally Gaming, Inc. Batch card shuffling apparatuses including multi card storage compartments, and related methods
US10668364B2 (en) 2012-07-27 2020-06-02 Sg Gaming, Inc. Automatic card shufflers and related methods
US10403324B2 (en) 2012-09-28 2019-09-03 Bally Gaming, Inc. Card recognition system, card handling device, and method for tuning a card handling device
US10398966B2 (en) * 2012-09-28 2019-09-03 Bally Gaming, Inc. Methods for automatically generating a card deck library and master images for a deck of cards, and a related card processing apparatus
US20170173449A1 (en) * 2012-09-28 2017-06-22 Bally Gaming, Inc. Methods for automatically generating a card deck library and master images for a deck of cards, and a related card processing apparatus
US10279245B2 (en) 2014-04-11 2019-05-07 Bally Gaming, Inc. Method and apparatus for handling cards
US10092819B2 (en) 2014-05-15 2018-10-09 Bally Gaming, Inc. Playing card handling devices, systems, and methods for verifying sets of cards
US10864431B2 (en) 2014-08-01 2020-12-15 Sg Gaming, Inc. Methods of making and using hand-forming card shufflers
US10238954B2 (en) 2014-08-01 2019-03-26 Bally Gaming, Inc. Hand-forming card shuffling apparatuses including multi-card storage compartments, and related methods
US10857448B2 (en) 2014-09-19 2020-12-08 Sg Gaming, Inc. Card handling devices and associated methods
US11358051B2 (en) 2014-09-19 2022-06-14 Sg Gaming, Inc. Card handling devices and associated methods
US10486055B2 (en) 2014-09-19 2019-11-26 Bally Gaming, Inc. Card handling devices and methods of randomizing playing cards
US10668363B2 (en) 2015-12-04 2020-06-02 Shuffle Master Gmbh & Co Kg Card handling devices and related assemblies and components
US10632363B2 (en) 2015-12-04 2020-04-28 Shuffle Master Gmbh & Co Kg Card handling devices and related assemblies and components
US10339765B2 (en) 2016-09-26 2019-07-02 Shuffle Master Gmbh & Co Kg Devices, systems, and related methods for real-time monitoring and display of related data for casino gaming devices
US10885748B2 (en) 2016-09-26 2021-01-05 Shuffle Master Gmbh & Co Kg Devices, systems, and related methods for real time monitoring and display of related data for casino gaming devices
US10933300B2 (en) 2016-09-26 2021-03-02 Shuffle Master Gmbh & Co Kg Card handling devices and related assemblies and components
US11577151B2 (en) 2016-09-26 2023-02-14 Shuffle Master Gmbh & Co Kg Methods for operating card handling devices and detecting card feed errors
US11462079B2 (en) 2016-09-26 2022-10-04 Shuffle Master Gmbh & Co Kg Devices, systems, and related methods for real-time monitoring and display of related data for casino gaming devices
US11426649B2 (en) 2018-04-19 2022-08-30 Ags Llc System and method for verifying the integrity of a deck of playing cards
US11376489B2 (en) 2018-09-14 2022-07-05 Sg Gaming, Inc. Card-handling devices and related methods, assemblies, and components
US11896891B2 (en) 2018-09-14 2024-02-13 Sg Gaming, Inc. Card-handling devices and related methods, assemblies, and components
US11338194B2 (en) 2018-09-28 2022-05-24 Sg Gaming, Inc. Automatic card shufflers and related methods of automatic jam recovery
US11691083B2 (en) * 2018-11-26 2023-07-04 Photo Butler Inc. Scavenger hunt facilitation
USD903771S1 (en) 2019-08-02 2020-12-01 Ags Llc Hand forming shuffler
USD930753S1 (en) 2019-08-02 2021-09-14 Ags Llc Hand forming shuffler
US11898837B2 (en) 2019-09-10 2024-02-13 Shuffle Master Gmbh & Co Kg Card-handling devices with defect detection and related methods
US11173383B2 (en) 2019-10-07 2021-11-16 Sg Gaming, Inc. Card-handling devices and related methods, assemblies, and components

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